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    PostgreSQL on Ubuntu 24.04 LTS

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    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for seller support. PostgreSQL on Ubuntu 24.04 LTS offers a powerful, open-source relational database management system, optimized for high performance, reliability, and scalability. Leveraging the stability of Ubuntu 24.04 LTS, this AMI simplifies the deployment of PostgreSQL in the EC2 cloud, enabling seamless integration with your applications. Benefit from advanced features such as JSON support, full-text search, and robust transaction processing capabilities. Ideal for developers and businesses needing a reliable database environment for web applications, analytics, and data-intensive workloads, this AMI allows for quick launch with pre-configured settings to expedite your project timelines. Utilize automated backups and scaling options to ensure your database grows with your business without compromising performance or security.
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    Overview

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    This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time.

    PostgreSQL on Ubuntu 24.04 LTS offers a robust and scalable relational database management system designed for reliability and performance. This AMI provides a comprehensive environment optimized for deploying PostgreSQL databases in the cloud, allowing you to harness the power of open-source database technologies on a highly stable and secure Ubuntu 24.04 operating system.

    Ubuntu 24.04 Key Features

    • Latest PostgreSQL Version: Utilizes the most current stable release of PostgreSQL, ensuring access to the latest features and improvements.
    • Ubuntu 24.04 LTS: Based on the long-term support version of Ubuntu, this AMI guarantees security updates and reliability for an extended period.
    • Easy Deployment: Simplifies the process of setting up a PostgreSQL instance in the Ubuntu 24.04 AWS EC2 environment with pre-configured settings for quick launch.
    • Scalability: Supports scaling out to meet growing data needs, making it suitable for both small applications and large-scale, enterprise-level databases.
    • Security: Incorporates best practices for security configurations, ensuring that your data is protected against unauthorized access.

    Ubuntu 24.04 Benefits

    • Cost-Effective: Leverage a powerful open-source database without the high licensing costs associated with commercial alternatives.
    • Performance Optimization: Pre-tuned for optimal performance on AWS Ubuntu 24.04 infrastructure, delivering fast response times for client queries.
    • Flexible Backup and Recovery Options: Utilize various backup strategies, from point-in-time recovery to simple hot backups, enhancing data resilience.
    • Active Community Support: Benefit from the vast support community of PostgreSQL, alongside access to extended support options for mission-critical applications.

    Ubuntu 24.04 Use Cases

    • Web Applications: Ideal for data-driven web applications requiring robust, reliable database management.
    • Data Warehousing: Use PostgreSQL to build efficient data warehouses that integrate with various ETL processes.
    • IoT Solutions: Manage large volumes of sensor or telemetry data from Internet of Things (IoT) devices with PostgreSQL's advanced data handling capabilities.
    • Business Intelligence: Analyze and report on data with powerful SQL capabilities, making it suited for BI applications.

    Deploy PostgreSQL on Ubuntu 24.04 LTS in your AWS environment today and empower your applications with a high-performing, open-source database solution.

    Try our most popular AMIs on AWS EC2

    Highlights

    • Experience the powerful combination of PostgreSQL and Ubuntu 24.04 LTS, offering a robust open-source relational database management system. This AMI is optimized for performance, delivering exceptional query speeds and reliability for handling large datasets. Benefit from a vast array of advanced features, including support for JSONB, full-text search, and custom data types, empowering data-driven applications and analytics.
    • Deploying PostgreSQL on Ubuntu 24.04 LTS in the AWS EC2 cloud ensures high availability and seamless scalability. The AMI includes automated configuration options, allowing you to get your database up and running quickly with minimal overhead. Leverage Amazon's infrastructure to handle traffic spikes and maintain performance without manual intervention, making it ideal for startups and enterprises alike.
    • With strong community support and comprehensive documentation, PostgreSQL on Ubuntu 24.04 LTS is well-suited for developers and system administrators. Utilize it for web applications, data warehousing, or transcoding complex queries across distributed systems. Leverage its extensibility and integration capabilities with various programming languages and frameworks, ensuring your database solutions align perfectly with your cloud architecture.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04 LTS

    Deployed on AWS
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    Pricing

    PostgreSQL on Ubuntu 24.04 LTS

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (607)

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    • ...
    Dimension
    Cost/hour
    t2.xlarge
    Recommended
    $0.28
    t3.micro
    $0.07
    t2.micro
    $0.21
    c3.8xlarge
    $2.24
    r7iz.2xlarge
    $0.56
    x2idn.16xlarge
    $4.48
    m6id.metal
    $3.36
    m3.medium
    $0.14
    c6i.2xlarge
    $0.56
    c5ad.12xlarge
    $3.36

    Vendor refund policy

    The instance can be terminated at anytime to stop incurring charges

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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    System updates

    Additional details

    Usage instructions

    SSH to the instance and login as 'ubuntu' using the key specified at launch.

    OS commands via SSH: SSH as user 'ubuntu' to the running instance and use sudo to run commands requiring root access.

    Verify postgresql install version by running: sudo -u postgres psql -c "SELECT version();"

    Support

    Vendor support

    Email support for this AMI is available through the following: https://supportedimages.com/support/  OR support@supportedimages.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

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    AI generated from product descriptions
    Advanced Data Type Support
    Support for JSONB, full-text search, and custom data types for data-driven applications and analytics
    Relational Database Management System
    Open-source relational database management system optimized for high performance, reliability, and scalability
    Transaction Processing
    Robust transaction processing capabilities for handling complex queries and data integrity
    Automated Configuration and Deployment
    Pre-configured settings and automated configuration options for quick launch in AWS EC2 environment with minimal overhead
    Long-Term Support Operating System
    Based on Ubuntu 24.04 LTS providing extended security updates and reliability for an extended period
    SELinux Security Enforcement
    SELinux enforcement enabled by default for mandatory access control and security policy enforcement
    Cloud-Init Automation Integration
    Built-in cloud-init support for automated provisioning workflows and instance configuration during deployment
    ENA Networking Support
    Enhanced Networking Adapter (ENA) support optimized for AWS EC2 high-performance networking capabilities
    Automatic Security Updates at Boot
    System synchronizes with upstream repositories during first boot to install newest security updates and package revisions
    Forward-Looking Development Platform
    Continuously delivered Linux distribution that tracks development path leading to future Red Hat Enterprise Linux releases
    In-Place Linux Distribution Conversion
    Convert2RHEL tooling enables in-place conversion of instances running on rpm-based Linux distributions to Red Hat Enterprise Linux 7 while preserving existing customizations, configurations, and preferences.
    Extended Security Support
    Extended Life Cycle Support (ELS) provides access to security patches and updates until June 2029, extending support five years beyond the CentOS Linux 7 end-of-life date.
    High Availability Support
    High Availability tooling and capabilities included for configuring and managing highly available infrastructure and applications.
    System Observability and Management
    Red Hat Insights integration provides monitoring, analysis, and remediation capabilities for security, stability, and performance issues across workloads, applications, and platforms.
    Cross-Infrastructure Consistency
    Unified operating foundation supporting consistent management and deployment across physical, virtual, private cloud, public cloud, and edge environments using standardized tools.

    Contract

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    Standard contract
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    Customer reviews

    Ratings and reviews

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    4.2
    12 ratings
    5 star
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    1 star
    42%
    58%
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    7 AWS reviews
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    5 external reviews
    External reviews are from PeerSpot .
    Harshwardhan Gullapalli

    Automated financial data workflows have reduced manual entry and support accurate auditing

    Reviewed on Apr 17, 2026
    Review provided by PeerSpot

    What is our primary use case?

    The primary use case for PostgreSQL on Ubuntu  is storing and managing structured financial data extracted from scanned documents through our AI pipeline. When we processed an invoice or a trial balance through our OCR and LLM system, PostgreSQL on Ubuntu  became the persistent layer where all that extracted data lived, including account codes, amounts, dates, and confidence scores from all the models. The FastAPI backend would query PostgreSQL  to retrieve those records, and chartered accountants would use them in the system to validate and map those extracted line items. If someone needed to trace where a particular account entry came from, PostgreSQL  had the complete audit trail and raw extracted data ready to query.

    PostgreSQL on Ubuntu integrated seamlessly with the rest of our stack. We used it alongside n8n  automation workflows running on Docker , and those n8n  instances would write processed data directly into PostgreSQL tables. The database became their central hub where financial data flowed through multiple stages of the pipeline, from initial extraction through LLM classification, through trial balance mapping, all the way to final storage. We also leveraged PostgreSQL on Ubuntu’s JSONB columns quite extensively since our LLM outputs were semi-structured JSON. Being able to store those flexible JSON objects directly in the database without needing a separate document store was invaluable. It simplified our architecture and made querying and data retrieval much more straightforward when we needed to filter or aggregate results for reporting.

    PostgreSQL on Ubuntu is deployed on-premises on Hostinger  in our organization.

    What is most valuable?

    The standout features PostgreSQL on Ubuntu offers were three things. First, JSONB support was huge. Since our LLM pipeline generated semi-structured JSON outputs with extracted fields and confidence scores, being able to store and query that JSON directly in PostgreSQL on Ubuntu without needing a separate document store was a massive win. It simplified our entire architecture. Second was reliability and stability on Ubuntu . We ran PostgreSQL on Ubuntu on a Linux server in production and it was rock solid. We never had unexpected crashes or data integrity issues, even under heavy batch processing loads. The backup tooling with pg_dump also integrated seamlessly into our automated workflows, so we had confidence our data was always safe. Third, indexing and query performance was excellent. When the FastAPI backend needed to retrieve specific financial records or filter by account codes for our trial balance mapping system, queries stayed fast and consistent even as the dataset grew. That performance directly translated to a snappier experience for the chartered accountants using the system, which mattered significantly.

    The impact of PostgreSQL on Ubuntu was tangible for our organization. On the reliability front, once we had PostgreSQL on Ubuntu as our structured data layer, we eliminated a lot of manual data validation work. Before that, extracted financial data had nowhere consistent to land, so it was error-prone. With PostgreSQL on Ubuntu in place, we had a clean, queryable store that made validation straightforward. On the metrics side, the full automation pipeline, which PostgreSQL on Ubuntu was central to, achieved a 70% reduction in manual data entry effort for our chartered accountant clients. Instead of manually re-entering invoice or trial balance data, the system extracted it, stored it cleanly in PostgreSQL on Ubuntu, and made it immediately available for review and mapping. That was a massive productivity gain. On cost, we also saw benefits from not needing separate document stores or complex caching layers. PostgreSQL on Ubuntu handled both structured data storage and semi-structured JSON in one place, which simplified our infrastructure and reduced operational overhead. The reliability also meant fewer debugging cycles and data recovery incidents, which translated to less engineering time spent on firefighting and more time on feature extraction.

    The way I measured that 70% reduction in manual data entry was straightforward. We tracked the time chartered accountants spent manually entering financial data before and after our full automation pipeline went live. We examined a sample of their typical workflows, such as processing and trial balancing or a set of invoices, and compared how long it took them to do that work manually versus using our system end-to-end. The 70% figure came from that comparison. The system handled extraction, classification, and mapping automatically, so they only needed to do light validation rather than full manual data entry. It was not a rigorous academic study with control groups.

    What needs improvement?

    Several things come to mind for improvements in PostgreSQL on Ubuntu. First, the monitoring and observability experience on Ubuntu  could be smoother. Setting up proper visibility into query performance, slow query logs, and connection pool statistics requires additional tools such as pg_stat_statements or external monitoring solutions. It would be helpful if PostgreSQL on Ubuntu shipped with slightly more user-friendly native dashboards built-in, especially for developers who are not dedicated database administrators. Second, native vector similarity search would be valuable. We were doing semantic document retrieval as part of our pipeline, so we ended up using Pinecone  as a separate vector database alongside PostgreSQL on Ubuntu rather than keeping everything in one system. PostgreSQL on Ubuntu has some emerging vector capabilities, but if native vector similarity search were more mature and performant out of the box, it would allow consolidating the architecture and reducing operational complexity. Additionally, full-text search, while functional, required extra configuration for our financial document use case. Having more intuitive defaults for that would lower the barrier to entry for search-heavy applications.

    For how long have I used the solution?

    I used PostgreSQL on Ubuntu throughout my time at Radiant Services, approximately one and a half years of hands-on production experience.

    What do I think about the stability of the solution?

    PostgreSQL on Ubuntu is stable.

    How are customer service and support?

    The customer support for PostgreSQL on Ubuntu is quite responsive. When I needed help with my vector search, I contacted them, and they provided substantial assistance.

    What other advice do I have?

    On the integration side, PostgreSQL on Ubuntu played well with our broader tech stack. The async driver we used, asyncpg, integrated smoothly with FastAPI, so our backend could handle concurrent requests efficiently without blocking on database calls. That was important when we were processing multiple documents in parallel. On extensions, we did not lean heavily into custom PostgreSQL on Ubuntu extensions, but the fact that they are available and well-maintained is reassuring for future use cases. On security, the role-based access control and pg_hba.conf gave us fine-grained control over who could access what, which was critical when handling sensitive financial data for chartered accountants. We could lock down access per application user and audit everything. PostgreSQL on Ubuntu’s strong ACID compliance meant we could trust data consistency, which is non-negotiable when dealing with financial records where accuracy is essential.

    I give PostgreSQL on Ubuntu a rating of 8 out of 10. I chose this rating because there are improvements needed, such as native vector similarity search and smoother monitoring and observability experience on Ubuntu, particularly for developers who are not dedicated database administrators.

    My advice to others looking into using PostgreSQL on Ubuntu would focus on connection pooling documentation and tooling, which is quite good. If you are building an AI or LLM-based application that produces structured or semi-structured data, which is increasingly common, PostgreSQL on Ubuntu is a genuinely strong choice. It is production-grade, battle-tested, and it handled our financial document processing workloads extremely well. My advice would be to use JSONB columns early if your outputs are schema-flexible, set up connection pooling with pgBouncer from day one, and if you need semantic search, combine PostgreSQL on Ubuntu with a vector database such as Pinecone  rather than trying to consolidate everything into one system.

    Also, automate your backups with pg_dump as part of your CI/CD setup from the start. Overall, PostgreSQL on Ubuntu is very good, and I am genuinely impressed with how reliable and performant it was in our production environment. It scaled well for our use case. As our document volume grew over time, PostgreSQL on Ubuntu handled increased load without requiring major architectural changes. Proper indexing and query optimization kept performance consistent, and the fact that it runs efficiently on Ubuntu meant we could scale vertically by adjusting server resources without changing much in our application layer. For teams expecting data growth, which is almost inevitable in AI-driven document processing, PostgreSQL on Ubuntu is an excellent choice.

    David François

    Creating a sovereign trust machine has secured agricultural provenance and now builds global buyer confidence

    Reviewed on Apr 04, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for PostgreSQL on Ubuntu  is as the backbone of an agricultural provenance system called France Farms, with the primary goal of creating a trust machine for smallholder farmers in the Caribbean. I use PostgreSQL on Ubuntu  to store critical agricultural data such as soil metrics, harvest origin, and chemical records. To ensure the data is tamper-proof, I implement cryptographic hashing such as SHA-256. This allows me to anchor a digital fingerprint to every physical asset, providing an immutable audit trail that can be verified by international buyers. Ubuntu  LTS provides the stable open-source environment required to run these high-integrity database operations reliably at the edge.

    What is most valuable?

    The best features that PostgreSQL on Ubuntu offers for my solution include data integrity via pgcrypto. PostgreSQL on Ubuntu is not just a bucket for data; with the pgcrypto extension, it becomes a security vault. The ability to run SHA-256 cryptographic functions directly within the database engine is critical. It allows me to seal agricultural records at the point of entry, ensuring that the provenance of the produce is immutable from farm to buyer.

    The stability of Ubuntu  LTS kernel ensures that the system stays stable for years without breaking changes. For an IT project or a bio-IT project in the Caribbean context where hardware resources can be limited, having a lean, high-performance OS that handles PostgreSQL on Ubuntu's resource demands efficiently is a major challenge. Additionally, JSONB allows for flexible farming data. Farming data can be messy; one day I am tracking soil pH, and the next day I am tracking rainfall or GPS coordinates. PostgreSQL on Ubuntu's JSONB support allows me to store semi-structured data from different types of farm sensors without having to constantly redesign the database schema. It gives the trust machine the flexibility of a NoSQL database with the ACID-compliant reliability of a traditional SQL system.

    PostgreSQL on Ubuntu has positively impacted my organization by being the single most important factor in moving France Farms from a conceptual bio-IT project to a functional sovereign trust machine because it has credibility with international farmers and partners. Using enterprise standard stacks, I can prove to global buyers that my data integrity is not just a claim; it is backed by the same architecture used by the world's largest tech firms. This has significantly lowered the trust barrier for Caribbean produce. It also enhances resource efficiency; when operating in a developing economy, I have to do more with less, and the lean nature of Ubuntu allows me to run high-performance database operations on modest hardware at the edge, reducing my overhead while maintaining a high percentage uptime for provenance records. Scaling with confidence is also key; knowing that I can seamlessly migrate my local Ubuntu and PostgreSQL on Ubuntu environment to AWS  or other cloud providers as I scale is a massive strategic advantage. This allows me to build sovereign solutions locally while remaining cloud-ready for global expansion.

    What needs improvement?

    To better serve my sovereign bio-IT projects such as France Farms, PostgreSQL on Ubuntu could be improved in three key areas. First, a native GUI for hashing security management would be beneficial; while the pgcrypto extension is powerful, having a native Ubuntu-optimized graphical interface for managing cryptographic keys and audit logs would lower the barrier for non-expert administrators in the field. I have been good at this because I was really focused on getting France Farms to work, and I used my flavor of AI to assist me.

    Second, automated edge-to-cloud syncing would be a game-changer; a built-in lightweight tool for offline-first synchronization would be invaluable in regions such as the Caribbean, South America, or Africa, where internet connectivity can be intermittent. Having a native Ubuntu service that manages PostgreSQL on Ubuntu data syncing to AWS  automatically when the connection is restored would improve the trust machine's reliability.

    Third, streamlined ZFS  integration for data snapshots would help ensure absolute data integrity. Integrating ZFS  file system snapshots directly onto PostgreSQL on Ubuntu management tools on Ubuntu would allow for transparent, instant, tamper-proof backups, giving sovereign projects an extra layer of defense against accidental data loss or hardware failure.

    For how long have I used the solution?

    I have been using PostgreSQL on Ubuntu for over a decade.

    What do I think about the stability of the solution?

    PostgreSQL on Ubuntu is very stable; it is regarded as the industry gold standard for stability. In the sovereign bio-IT context of my project for France Farms, stability is a requirement. If my trust machine crashes, the provenance of the produce is broken. Running PostgreSQL on Ubuntu 24.0 ensures access to security patches and updates. It also guarantees asset compliance; after atomicity, consistency, isolation, and durability, it means that even if the power goes out during a transaction, PostgreSQL on Ubuntu ensures that the data is 100 percent saved or rolled back. The synergy with the Linux kernel is excellent, as PostgreSQL on Ubuntu is a native Linux application that handles memory management and process scheduling incredibly well on Ubuntu.

    What do I think about the scalability of the solution?

    PostgreSQL on Ubuntu is a good scaling weapon due to its vertical scalability. Ubuntu is efficient with hardware resources, allowing me to scale up by simply adding more RAM to my local server. PostgreSQL on Ubuntu is renowned for its ability to utilize every bit of hardware power that is given to it. Additionally, JSONB enhances data scalability; in agriculture, for example, data shape changes frequently. One month, I could be tracking citrus yields, and the next day, I am adding carbon sequestration metrics. PostgreSQL on Ubuntu's JSONB, as a binary JSON, allows me to store diverse data types in a single table while keeping it indexed and fast.

    How are customer service and support?

    I have not needed customer support for PostgreSQL on Ubuntu yet, but because I use Ubuntu LTS, I still have access to the Ubuntu Advantage knowledge base and the Ask Ubuntu community. If a security patch is needed for the OS, it is pushed automatically. PostgreSQL on Ubuntu also has some of the most detailed technical documentation in existence.

    How was the initial setup?

    I found the process of setting up PostgreSQL on Ubuntu, along with the pgcrypto extension, to be straightforward, but it required a subtle understanding of the Linux command line interface. Using APT to manage the installation and updates is seamless. The repository system makes it easy to get stable, tested versions of PostgreSQL on Ubuntu that I need for a production environment. The challenge, or the real learning curve, was in the permissions and configuration. Managing the pg_hba.conf file to secure remote access while ensuring the PostgreSQL on Ubuntu user has the right ownership of the data was a hurdle. Understanding how Ubuntu handles systemd services for PostgreSQL on Ubuntu was key. Once I understood how to use systemctl to manage the database lifecycle properly, the setup became very reliable. I also received some help from artificial intelligence, which was very helpful for me.

    What was our ROI?

    I have seen a return on investment from using PostgreSQL on Ubuntu with a reduction in infrastructure cost; Ubuntu LTS is relatively free, allowing me to avoid the high monthly managed service fees from proprietary database platforms. This enables me to funnel my limited capital directly into R&D and soil science. There is also 100 percent data integrity with no licensing fees. Fewer employees are needed because this was bootstrapped for one person, so I did not need to hire a large team for a startup such as this.

    What's my experience with pricing, setup cost, and licensing?

    I chose to run PostgreSQL on Ubuntu directly onto Ubuntu LTS to maintain sovereign control over the pricing and setup cost.

    Which other solutions did I evaluate?

    Before choosing PostgreSQL on Ubuntu, I evaluated other options; specifically, I compared it with NoSQL, namely MongoDB, for its flexibility with unstructured agricultural sensor data, and SQLite  for the edge nodes on the farms due to its zero configuration setup. While SQLite  is great for small tasks, it lacks the enterprise security features and powerful pgcrypto extension required.

    What other advice do I have?

    The decision to use cryptographic hashing in my system was driven by a lack of transparency in traditional agricultural supply chains. In the Caribbean, smallholder farmers often struggle to prove the origin and quality of their produce to international buyers. The particular challenge was creating an immutable audit trail without requiring expensive, high-bandwidth blockchain infrastructure at the farm level. By using SHA-256 hashing within PostgreSQL on Ubuntu, I can generate a unique digital fingerprint for every harvest record at the point of entry. This ensures that if a middleman or a rogue actor tries to tamper with the data, such as changing the organic status or the harvest date, the hash will no longer match. It turns a standard database into a trust machine, giving local farmers the sovereign proof they need to compete in global markets.

    The primary feature I wish existed for PostgreSQL on Ubuntu is a native provenance layer for blockchain-light anchoring. This would be an Ubuntu service that can automatically anchor PostgreSQL on Ubuntu hash stamps to a public or private ledger. AI-driven integrity audits are also necessary; a built-in Ubuntu tool that utilizes machine learning to scan PostgreSQL on Ubuntu records for anomalies or inconsistent patterns in my agricultural data would serve as an automated digital inspector for stakeholder farmers, catching errors or fraud before the produce leaves the farm. Additionally, a hardware-level root of trust, such as binding the database master key to a physical hardware chip on an edge device, would guarantee that the data remains sovereign and cannot be moved or decrypted if the hardware is stolen from a rural farm site.

    The most important thing for me is the synergy between the Linux kernel and PostgreSQL on Ubuntu. In a bio-IT context, especially when dealing with physical assets such as soil and harvest, the database cannot be a black box. Because I am running PostgreSQL on Ubuntu, I have total visibility into how the system handles hardware via Udev, how it manages file systems, and how it secures the data at rest. This full-stack transparency is what makes a sovereign trust machine possible. It allows a developer in a developing country or a developing economy to build enterprise-grade security that can be verified globally. If someone wants to build for the edge, where trust is the primary currency, PostgreSQL on Ubuntu is the only choice.

    My advice for anyone looking to deploy PostgreSQL on Ubuntu for high-integrity projects is to first master the command line interface; this means not relying on GUI wrappers. Understanding how to manage PostgreSQL on Ubuntu via the Ubuntu terminal and focusing specifically on systemd for service management and file permissions for data directories grants true sovereign control. Lean into the extensions; do not treat PostgreSQL on Ubuntu as a basic SQL bucket. Explore extensions such as pgcrypto for cryptographic hashing and JSONB for semi-structured data; these features will enable building complex trust machines without needing additional expensive middleware. Prioritize security at the edge; if building for the real world such as agricultural IT, focusing on the synergy between the Ubuntu kernel and the database is crucial. Understanding how the OS handles hardware triggers will help automate data entry and secure the root of trust at the physical layer. Lastly, build for the cloud, but stay sovereign; start development on a local Ubuntu LTS instance to learn the configuration deeply. Once the local environment has been mastered, migrating to AWS RDS  becomes a seamless strategic move rather than a technical hurdle. I would rate my overall experience with PostgreSQL on Ubuntu at a nine out of ten.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Rizwan Ghzzaal

    Open-source database has given strong flexibility for operations and supports rapid cloud work

    Reviewed on Apr 01, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I am working with PostgreSQL on Ubuntu  as a consultant. I have been using PostgreSQL on Ubuntu  from the open-source perspective. I have not used any license with PostgreSQL .

    What is most valuable?

    The biggest benefit in PostgreSQL on Ubuntu for me is the open-source advantage. Both the open-source aspect and the very strong community support provide significant value. I can do many multiple things rather than some very tightly-locked features from products that require license purchases and waiting for feature releases. From the out-of-the-box solutions, the community is very helpful and I can get solutions much faster.

    Nowadays, with GenAI and AI tools available, there is a deposit of the entire knowledge base into one model. I get very fast support and help from GenAI as well. The biggest power for PostgreSQL on Ubuntu is the open-source aspect. Any open-source software allows me to look into the code, understand the logic, and mold my code according to it, and it will work perfectly rather than proprietary solutions where I am very much dependent on the vendor and have to wait for their next release to fix things.

    What needs improvement?

    PostgreSQL on Ubuntu could benefit from serverless support. Things have moved into the cloud, and it would be helpful to have an in-house serverless solution where we have distributed data. We could expand and reduce the servers behind the scenes with elasticity. I know this is a very complex thing because PostgreSQL on Ubuntu is atomic, and atomic databases have very consistent storage and all these things. However, it would be greatly helpful in planning capacity and in terms of if we need to expand in the future, we can expand, and in case it is not needed, we can shrink back. The elastic feature would be better if there were some solution like this.

    Regarding scalability, PostgreSQL on Ubuntu is scalable, but if they have some native, more elasticity-induced capability, it would be beneficial. Currently, I am working on containers mostly, and containers are deployed and then destroyed. The database is always on very rigid servers which are hardly expanded or extended sometimes, but reduced, no. I cannot reduce them back because I do not know what sort of data I need and which sort of data I need to discard. That is a very difficult decision to make. If there is a feature regarding that, it would be nice to have. If there is not, it would be nice to have more native support for the cloud and this flexibility in data manipulation and data handling.

    For how long have I used the solution?

    I have been dealing with this solution for eight to nine years.

    What do I think about the stability of the solution?

    PostgreSQL on Ubuntu is stable. If something goes wrong, I would not blame PostgreSQL . I would only say that it is something that I need to fine tune. PostgreSQL on Ubuntu is handling my production infrastructures very well and it is going very good.

    What do I think about the scalability of the solution?

    Regarding scalability, PostgreSQL on Ubuntu is scalable, but if they have some native, more elasticity-induced capability, it would be beneficial. Currently, I am working on containers mostly, and containers are deployed and then destroyed. The database is always on very rigid servers which are hardly expanded or extended sometimes, but reduced, no. I cannot reduce them back because I do not know what sort of data I need and which sort of data I need to discard. That is a very difficult decision to make. If there is a feature regarding that, it would be nice to have. If there is not, it would be nice to have more native support for the cloud and this flexibility in data manipulation and data handling.

    How was the initial setup?

    The installation and deployment process of PostgreSQL on Ubuntu is very straightforward. I have automated it and I know that it is not about MySQL , but both of them have a very similar installation process. The main difference is the commands on how you manage MySQL  and how you manage PostgreSQL on Ubuntu.

    What was our ROI?

    PostgreSQL on Ubuntu is open-source, and I have not spent a single penny other than the infrastructure on which it is hosted. If I look into the market, I have very heavy products, and even MySQL is also open source, but PostgreSQL on Ubuntu gives me a lot of savings in terms if I were to go to any other vendor which has a license. The ROI is significant because I am not paying a single penny for the product itself, but only for the underlying infrastructure.

    What other advice do I have?

    PostgreSQL on Ubuntu can be used for holding the data from the apps, helping with the logic, and retrieving the data, serving the data of clients, customers, and the user base. That is the main reason. PostgreSQL is a relational database. However, if there is something which is a non-relational database, a non-structured one, it goes to NoSQL options like MongoDB or DynamoDB in AWS .

    The best advantage in PostgreSQL on Ubuntu is its flexibility for the users, for the developers actually. They are very much comfortable in designing the schemas. For me, it is very much flexible for maintaining the backups, the clusters, and running smooth operations. PostgreSQL on Ubuntu is very much flexible.

    From the developer side, they are the ones that are using these features from PostgreSQL on Ubuntu. I am using it from the operational point of view: backup, security, and hosting it on a server or on the cloud. That is what my job is.

    The performance for PostgreSQL on Ubuntu is very good and it is optimized. It gives me leverage of handling more queries at a time and speeds up the process.

    There are features from the developer side regarding foreign data wrappers in integrating disparate data sources.

    Since I am using PostgreSQL on Ubuntu in a very specific niche like maintenance, management, and backups, there is a very less chance I will find something negative about it because so far what I have used in the projects, I needed a thing and I needed a solution and it was there already. Everything was there already and it was smooth. However, more or less developers are the right person that can say this is a must-have feature that they miss in PostgreSQL on Ubuntu.

    I have deployed a solution on AWS  cloud with PostgreSQL on Ubuntu. I would rate this review as highly positive based on my extensive experience and satisfaction with PostgreSQL on Ubuntu.

    SampathkumarRajasekaran

    Long-term web deployments have run reliably and now need better query editing tools

    Reviewed on Mar 31, 2026
    Review from a verified AWS customer

    What is our primary use case?

    As a user of PostgreSQL on Ubuntu , I work as a partner deploying the system while we design the particular system and deploy it using PostgreSQL on Ubuntu , which is a good fit in that way. PostgreSQL on Ubuntu is used primarily for a website, and the major case was only one time for small data marts for analytical purposes based on the website requirement. I have compared PostgreSQL on Ubuntu to solutions like SQL Matrix, which has a smaller variant, although I am trying to recall the exact name.

    What is most valuable?

    From my experience, one of the biggest advantages of PostgreSQL on Ubuntu is that it is an RDBMS  that performs well based on stability, and it is quick to set up and accessible, not demanding multiple editors or support tools, making it preferable for small-end website requirements.

    The performance for parallel query execution on PostgreSQL on Ubuntu is good in my project, with no troubles yet based on the use cases that we deployed.

    My experience with foreign data wrappers in PostgreSQL on Ubuntu is that they can connect queries to external data sources such as databases, files, and web services, which I find convenient. With open source technologies such as Python and Perl, we can write different libraries to quickly avail these features.

    I do use ACID transactions in PostgreSQL on Ubuntu, which is RDBMS  compliant, and it performs perfectly well with no difficulties encountered.

    I find the installation process for PostgreSQL on Ubuntu to be easy, especially when applying it to data warehouse solutions, although I have limited experience with data marts.

    What needs improvement?

    In terms of areas for improvement in PostgreSQL on Ubuntu, the only thing is that on the editor side, they have to make it better, such as improving psql or similar PostgreSQL on Ubuntu editors to enhance functionality.

    The editor side could be better, but the rest of PostgreSQL on Ubuntu is satisfactory.

    For how long have I used the solution?

    I confirm that I am using this product, PostgreSQL on Ubuntu, for four to five years.

    What do I think about the stability of the solution?

    I use multiversion concurrency control in PostgreSQL on Ubuntu, but some users look for a little variance when using it, especially in situations such as small online shops that require lighter solutions.

    What do I think about the scalability of the solution?

    I do not see any limits in scalability for PostgreSQL on Ubuntu; it scales well without constraints.

    How are customer service and support?

    Regarding technical support for PostgreSQL on Ubuntu, there is a need for quick support services when the solution is not built well, and community support is usually helpful in addressing queries and finding solutions to various scenarios.

    Which solution did I use previously and why did I switch?

    When I compare PostgreSQL on Ubuntu to competitors, I find they often offer lesser variants and better traction and use cases.

    How was the initial setup?

    I find the installation process for PostgreSQL on Ubuntu to be easy, especially when applying it to data warehouse solutions, although I have limited experience with data marts.

    What was our ROI?

    Regarding ROI from PostgreSQL on Ubuntu, I find it manageable, with it being affordable from a cost standpoint, although support may require additional variants depending on solution dependencies.

    What's my experience with pricing, setup cost, and licensing?

    The price model for PostgreSQL on Ubuntu is not expensive; it is affordable since most solutions we use are completely open source, leading to lower costs.

    What other advice do I have?

    Regarding BRIN indexes in PostgreSQL on Ubuntu, I have not used them for large data sets.

    I have purchased solutions from AWS Marketplace  depending on various customers, and I may have bought one or two solutions specifically related to PostgreSQL on Ubuntu in the past, though I do not clearly remember.

    In fast development scenarios, we often use application lab models where we try out various combinations, helping us understand the scaling needs for PostgreSQL on Ubuntu and other deployments.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Debarshi Banerjee

    Postgres has supported fast POCs and now serves both transactional data and AI vector workloads

    Reviewed on Mar 30, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I am currently working with Prometheus for observability on top of a platform, making Prometheus my main tool. In my past project, I used Contentful  as a headless CMS for content delivery.

    I use standard Postgres and Prometheus in my current project, with no other tools of that sort for other use cases. The choice of database depends on the project, but mostly for any POC that I do, I choose Postgres because of its simplicity. In the AI world, it has pgvector, an index store that is good for RAG systems.

    Basically, a transaction DB in our application as well as a vector store for our RAG pipeline is my central use case.

    What is most valuable?

    The good aspect about PostgreSQL on Ubuntu  is the huge community support that we have. PostgreSQL on Ubuntu  is open source software, and different teams have contributed to open source. So it is quite robust in providing a lot of things. If you think about on-the-fly aggregations, it also supports that. Distributed clusters are also supported. It is a tool that is right now very mature and able to handle a lot of use cases. Coming from a SQL background, PostgreSQL on Ubuntu is the standard tool that we use. Most of my use cases are sometimes POCs that I need to deliver. At that point, it is a no-brainer to just use PostgreSQL on Ubuntu because of its simplicity and familiarity.

    What needs improvement?

    The initial setup can be tricky. If you are going for some advanced things and have a lot of data, then you also have to think a lot about how to set up the cluster. The infrastructure of the cluster is something that you need to consider if you are hosting a lot of data. For a general use case, it is fine, but when it comes to scaling, you have to pay a little attention to the cluster. This is true for other search services as well, where you have to think about similar kinds of considerations. With Algolia , you did not have to worry because it was managed by the service layer itself. Since this is a more hands-on tool, once the data comes in and the volume is high, then you must also think about the infrastructure.

    For how long have I used the solution?

    I have more than five years of experience with PostgreSQL on Ubuntu. My usage has been on and off.

    What do I think about the stability of the solution?

    I have not seen any stability issues with PostgreSQL on Ubuntu in my day-to-day work. Maybe something we have done to our services has caused the issue, but we have not seen a core PostgreSQL on Ubuntu issue. PostgreSQL on Ubuntu is quite stable.

    What do I think about the scalability of the solution?

    If you are dealing with multiple regions and huge data with huge transactions per second, in that case, you have to set up the cluster. It is not impossible. You just need to know the right cluster settings to set it up.

    Which solution did I use previously and why did I switch?

    I have used Amazon OpenSearch  services as a tool for similar purposes.

    How was the initial setup?

    PostgreSQL on Ubuntu is very easy in terms of installation and deployment.

    What about the implementation team?

    I have not done it personally. My team has done it. My DevOps team has provisioned AWS  instances as well as Azure  instances. Under the hood, I do not know what I am dealing with. For me, it is just an IP address that I can SSH into and do it. Where the cloud is running, I know for sure they are using AWS  and Azure  interchangeably.

    What was our ROI?

    ACID transactions basically talk about write queries. Basically, if it is a distributed system, it makes sure that transaction consistency is there on each of the transactions that is happening. Think about if you are in a different geographic location and your cluster is hosted in two different geographic locations, maybe one in South Pacific and one in Western Europe. In both cases, if write transactions are happening, this is a good way to basically order the transactions so that the eventual data consistency is there.

    With the basic version, you can very quickly do POCs. That is a very good ROI for that because suppose you have to do a demo in one week and you want to just quickly bootstrap some services and get the solution up. It is a very good service to do that. However, with different use cases, maybe different solutions are better. If you are going for an e-commerce solution where you have multiple filters available and you have to show aggregation, then a different type of query and a different type of database is needed.

    What's my experience with pricing, setup cost, and licensing?

    I am not using the Algolia  service. I have purchased something from AWS Marketplace .

    Which other solutions did I evaluate?

    I was just looking at a service called ClickHouse . ClickHouse  also has a different type of database. It is a clickstream analysis database. What we are trying to do is instead of Prometheus, we are thinking of using ClickHouse in our project because of how fast it is. Under the hood, it does a different type of operations to do aggregations, sums, and other operations. Since it is a SQL-based query system, the familiarity is there.

    What other advice do I have?

    My overall rating for PostgreSQL on Ubuntu is nine out of ten.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
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