Sold by: DBeaver Corporation
Deployed on AWS
Free Trial
AWS Free Tier
Universal database management tool
4.4
Overview
CloudBeaver is a new universal interface for data management developed by the DBeaver team. CloudBeaver is especially adapted for AWS Cloud services. This is the light web-application that you can share among all AWS users within your company. CloudBeaver allows:
- view and edit data and metadata of your databases
- export data from tables
- run SQL-queries for SQL and NoSQL databases
- view ER-diagrams for database objects and export them. Out-of-the-box CloudBeaver supports: AWS RDS (PostgreSQL, MySQL, Oracle, SQL Server), AWS Redshift, Aurora, Athena, DynamoDB, DocumentDB and Keyspaces. You can also create connections to your custom databases. Tens drivers are already included.
Highlights
- CloudBeaver works easily with your databases in AWS. In a few clicks you can setup a CloudBeaver server with connections to all your AWS and third-party databases. These connections are available for all users in your company and consider AWS permissions.
- CloudBeaver shows data from SQL and NoSQL databases as tables or in JSON view. For experienced users CloudBeaver suggests the advanced SQL-editor with syntax highlighting and auto-suggestion.
- You can look at the structure of your database on ER-diagrams. ER-diagrams are available for databases, schemas and tables.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 20
Deployed on AWS
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Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $1.50 |
t2.micro | $0.20 |
m5.4xlarge | $8.60 |
m4.large | $1.50 |
m5.large | $1.50 |
t3.medium | $0.60 |
t2.medium | $0.60 |
m5.xlarge | $2.80 |
t2.large | $1.50 |
m5.2xlarge | $4.60 |
Vendor refund policy
Refund within 30 days
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Changes since 26.0.0:
Administration:
- Added a new secrets configuration provider, "AWS Secrets", that uses local AWS configuration. The existing provider that used the AWS cloud configuration was renamed to "AWS Integrated Cloud Secrets".
AI Assistant:
- Added an Ask AI button to the Execution Plan toolbar, providing explanations and highlights for the execution plan state and potential performance optimization.
MCP:
- Added the TOOLS & MCP Section into the AI Settings in the Administration part. External and internal agents can be configured there by administrators.
- Added the internal MCP DBeaver Server with the ability to configure tools for the AI Chat: Read table sample rows, Open database objects editor, or open SQL Editor. This functionality is enabled by default when AI Integration is enabled.
- Added MCP client authorization support to CloudBeaver, allowing customers to review the third-party application's request and permissions on a dedicated consent screen.
SQL Editor:
- Added an advanced graph visualization for SQL execution plans in the SQL Editor. The view highlights the most expensive nodes and routes, allows hiding irrelevant elements, and shows node details.
- Added the ability to export a script to the Cloud Storage directly from the SQL Editor using the Export button.
Data Editor:
- Renamed the Bar chart to Column chart and introduced a horizontal bar chart under the Bar name in the Data Editor.
- Added the ability to copy-paste multiple cells at once. Pasted values will be distributed across selected cells.
- Added the Find and Replace functionality for the Data Editor with the ability to find data by matching case, whole word, or using regular expressions.
- Data Editor started to keep the state of column configurations, such as filters, sorting, and ordering, after the reconnect, page refresh, and re-login.
Navigator Tree:
- Reorganized the context menu on the connection level to make it more compact.
- Added support for special symbols (pipe, comma, and asterisk) for the search field.
Accessibility:
- Added the Skip to content option for quick keyboard access to the Navigator Tree, editors, and shortcuts list tab to improve application accessibility.
- Improved keyboard navigation for context menu and buttons for Data Editor, SQL Editor, and Navigator tree.
- Fixed contrast for elements across different application parts in the light and dark themes to meet WCAG requirements.
Query Manager:
- Added an Export button to Query History and Query Manager views. Users can filter data using existing UI controls and export the results to the CSV format.
New databases support:
- Valkey
- Microsoft Fabric
- GizmoSQL
Security:
- Added an administrative setting to restrict SSH tunneling capabilities. Administrators can now limit tunnel configuration to authorized users, reducing the risk of unauthorized network access.
- Fixed a path traversal vulnerability in the Resource Manager service.
- Fixed the critical vulnerability (CVE-2025-62718) in the axios library. The library was updated to version 1.15.0.
- Fixed the critical vulnerability (CVE-2026-22732) in the spring-security-web library. The library was updated to version 4.0.4.
- Fixed the high vulnerability (CVE-2026-33228) in the flatted library. The library was updated to version 3.4.2.
- Fixed the high vulnerability (CVE-2025-7962) in the sun.mail.jakarta library. The library was updated to version 2.0.2.
- Fixed the high vulnerability (CVE-2026-3505) in the bcpg-jdk18on library. The library was updated to version 1.84.0.
- Fixed the high vulnerability (CVE-2026-42587) in the netty-codec-http2 library. The netty-bom library was updated to version 4.2.13.
- Fixed the high vulnerability (CVE-2026-33870) in the netty-codec-http library. The library was updated to version 4.2.10.
- Fixed the high vulnerability (CVE-2026-24734) in the tomcat-embed-core library. The library was removed from the project dependencies.
- Fixed the high vulnerability (CVE-2026-32141) in the flatted library. The library was updated to version 4.4.0.
- Fixed the high vulnerability (CVE-2026-1605) in the jetty-server library. The library was updated to version 12.1.7.
Additional details
Usage instructions
- Run the selected EC2 instance with CloudBeaver.
- Open the link to your new EC2 instance in browser.
- Follow the simple steps to configure your CloudBeaver.
- Share the link with other team-members and start working.
Resources
Vendor resources
Support
Vendor support
Online support support@dbeaver.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.
Updated weekly
By DBeaver Corporation
By Datasparc
By OpenLink Software
Top
10
In Data Governance, Master Data Management, Data Analytics
Top
10
In Data Security and Governance
Top
100
In Data Integration, Business Intelligence & Advanced Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Multi-Database Support
Supports AWS RDS (PostgreSQL, MySQL, Oracle, SQL Server), AWS Redshift, Aurora, Athena, DynamoDB, DocumentDB, Keyspaces, and custom databases with tens of included drivers
SQL Query Execution
Advanced SQL editor with syntax highlighting and auto-suggestion for executing queries against SQL and NoSQL databases
Data Visualization and Export
View and edit database data and metadata with support for table and JSON view formats, and export data from tables
Entity-Relationship Diagram Generation
Generate and export ER-diagrams for databases, schemas, and table structures
AWS Permission Integration
Database connections respect AWS permissions and are shareable across all company users through centralized server setup
Zero-Trust Database Access Control
Enforces least privilege principle to restrict database access to only authorized users and applications, minimizing data breach risk across SQL, NoSQL, and cloud platforms.
Dynamic Data Masking
Applies dynamic data masking capabilities to protect sensitive data by obscuring or redacting information based on user permissions and access policies.
Comprehensive Audit Logging
Provides centralized auditing and logging of user activities with detailed insights and tracking of all database access and operations for compliance and security monitoring.
Unified Web-Based IDE
Offers a browser-based integrated development environment for accessing, querying, and managing multiple database types including Oracle, AWS RDS, Snowflake, and Redshift from a single interface.
Multi-Platform Deployment Options
Supports flexible deployment across EC2, Docker, Kubernetes, and AWS Fargate with integration capabilities for SAML, LDAP, SSO, API, and secret password vault systems.
Multi-Model Database Management
Supports both relational tables and RDF graphs within a single integrated database management system
Query Language Support
Provides support for SQL, SPARQL, GraphQL, ODBC/JDBC, HTTP, and MCP protocols for data access and integration
Data Virtualization and Replication
Includes advanced data virtualization, replication, and integration capabilities for managing distributed data sources
Access Control
Implements fine-grained, attribute-based access controls for secure data management
LLM Integration Infrastructure
Delivers infrastructure for developing and deploying Large Language Model-based AI Agents and Assistants with loose coupling to data spaces including databases, knowledge graphs, filesystems, and APIs
Standard contract
No
Customer reviews
Inwokoro Nwokoro
Centralized web access has transformed team database work and secures role based collaboration
Reviewed on Jul 12, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for CloudBeaver AWS is its centralized nature, which I use for database management systems, software development, and data analysis.
What is most valuable?
I can provide a specific example of how I use CloudBeaver AWS for database management and software development. CloudBeaver has significant advantages because it is cloud-based and requires no installation on your system. Instead of installing database clients on every user's computer, it provides a centralized web interface where authorized users can securely connect and work with databases. You have browser-based access without needing to install anything, and it supports MySQL and other database extensions.
I have much to add about my main use case and how CloudBeaver AWS fits into my workflow because it has been profoundly beneficial for several use cases, including its ability to read business intelligence, cloud-based management, and team collaboration. It is always accessible once you open a web browser, and you do not need to worry about clogging your system, memory, or storage. You can always work through a browser.
In my opinion, the best features CloudBeaver AWS offers include its centralized nature, connection management, and database connectivity since it is not federated. It has a SQL editor with syntax highlighting and is browser-based, supporting database system workflows such as PostgreSQL and MySQL . It also offers user and role management where administrators can control access permissions for teams. Based on the level of involvement or team members' profile, administrators can assign responsibilities and system restrictions. Additionally, it helps with cloud deployment through AWS services such as EC2 .
I want to provide more detail about the user and role management feature, which benefits my team and organization because security is always important when every user is given access control based on their involvement in tasks or their level in the organization. It provides administrators the opportunity to create users based on their portfolios and their level of access to the internal system. This gives administrators the avenue to classify team members based on their credentials.
What needs improvement?
I believe there are still additional key attributes that could be added because CloudBeaver AWS is a business intelligence system that eliminates the requirement to install software on your system. However, since it is centralized, it can have some speed challenges, which would be one of the drawbacks when many people are using the system.
Regarding specific metrics and examples of improved efficiency, I have noticed time saved and money saved since there will be fewer employees, which is beneficial for the business because businesses exist to make profit. Performance can be slower than a desktop client for very large queries or data sets, which is understandable. The initial configuration and security setup requires some database administrative knowledge, and some enterprise capabilities are available only in paid editions. Money saved, time saved, and reduced employee count are the essential reasons why businesses adopt CloudBeaver AWS because every business exists to make and maximize profit.
I believe CloudBeaver AWS could be improved if the performance metrics were enhanced, which would be a classical improvement because I understand it is a centralized database system. If efficiency and performance metrics could be enhanced, it would be an advantage and asset for users and organizations.
For how long have I used the solution?
I have been using CloudBeaver AWS for about three years now, beginning in 2023.
What do I think about the stability of the solution?
CloudBeaver AWS is stable. Apart from speed issues related to its centralized nature, it is very stable when compared with other software such as PHPMyAdmin. It is very powerful when compared with DataGrip, Azure Data Studio, and TablePlus. Another positive aspect is that it is web-based.
What do I think about the scalability of the solution?
The scalability of CloudBeaver AWS is evident because it can easily adapt to any scenario, instances, and geopolitical dimension or paradigm.
How are customer service and support?
Customer support for CloudBeaver AWS is very timely and always available, with questions answered professionally. Although there are many frequently asked questions that could help users navigate some challenges, when I decide to interact with back-end administrators, responses do not take long. I consider customer support to be very efficient and would rate it at eight out of ten.
Which solution did I use previously and why did I switch?
I have previously used different solutions. We have used many solutions including Oracle, Finacle , T24, and other options. However, these required extensive installation processes, and hacker-orchestrated denial of service attacks would hamper operations, causing us to lose money and credibility. Because of CloudBeaver AWS's double authentication system and compliance mechanisms, we decided to switch, and for over three years now, it has been successful.
How was the initial setup?
My experience with pricing, setup cost, and licensing is that pricing is always on a very high side. Once you have access to the software, you do not need special setup modalities—you simply open your browser and have unrestricted access based on your portfolio. However, I am certain that some third-world countries might find it difficult to meet the pricing demands.
What was our ROI?
I have seen a return on investment as companies, especially my own employer, make substantial profit from having fewer employees because CloudBeaver AWS automatically performs many functions that would ordinarily require top management to engage in massive recruitment. Fewer employees lead to more money saved and more profit declared in profit and loss accounts and balance sheets.
What's my experience with pricing, setup cost, and licensing?
Regarding specific metrics and examples of improved efficiency, I have noticed time saved and money saved since there will be fewer employees, which is beneficial for the business because businesses exist to make profit. Performance can be slower than a desktop client for very large queries or data sets, which is understandable. The initial configuration and security setup requires some database administrative knowledge, and some enterprise capabilities are available only in paid editions. Money saved, time saved, and reduced employee count are the essential reasons why businesses adopt this solution because every business exists to make and maximize profit.
Which other solutions did I evaluate?
Before choosing CloudBeaver AWS, we evaluated other options, including T24, Finacle , Oracle, and others. We evaluated several options, but ultimately decided to go with CloudBeaver AWS.
What other advice do I have?
Regarding CloudBeaver AWS's governance and security, these refer to the policy control and processes used to manage access to databases. CloudBeaver AWS provides governance and security features that help organizations. Role-based access control can assist CloudBeaver AWS in creating users and teams while assigning roles and portfolios and restricting unauthorized access. User and team management allows accounts to be created and users organized into teams with assigned global portfolios. For security, CloudBeaver AWS could support several authentication mechanisms including password and access control systems, and data security would also be part of security management.
If I were to measure CloudBeaver AWS's accuracy and reliability of output, I would start with authentication, which is very efficient, and move to access control, which is profoundly efficient. Data security has good security credentials, and governance features are so profound, along with compliance support. Overall, it receives almost a perfect score.
For others considering CloudBeaver AWS, I would advise them not to hesitate to make a purchase. CloudBeaver AWS is a cloud-based, web-based database management and administration tool that allows users to access, query, and manage databases through a web browser. It is built on the technology behind the popular DBeaver desktop client and is commonly deployed on cloud platforms such as Amazon Web Services . Instead of installing a database client on every user's computer, CloudBeaver AWS provides a centralized web interface where authorized users can securely connect and work with databases. I would advise them not to hesitate and proceed with the product. I have given this review a rating of nine out of ten.
Ayodeji Bayo-Makinde
Unified browser access has streamlined multi-database collaboration and improved governance
Reviewed on Jun 15, 2026
Review from a verified AWS customer
What is our primary use case?
I use CloudBeaver AWS to manage multiple AWS data services that we have, such as RDS , Aurora, Redshift, Athena , DynamoDB, and DocumentDB. CloudBeaver AWS provides us a unified management layer to manage those multiple data services. On a day-to-day basis, I use CloudBeaver AWS to retrieve and compare data from our multiple data services.
How has it helped my organization?
CloudBeaver AWS has impacted us positively in multiple ways. Beyond being able to manage multiple databases, it also provides services such as exporting Excel sheets, importing data, CSV exports, and table browsing. This makes database management flexible across the different database services and technologies that we have. The flexibility that it offers is one of the main positive impacts on our organization.
CloudBeaver AWS has greatly improved the teamwork within our database teams and our DevOps teams. It really helps with managing our team, which includes many engineers and analysts. The centralized access that CloudBeaver AWS provides is a major operational benefit. It does help to save time as well.
We have definitely seen improvement in productivity and governance, and also security due to the centralized access management that CloudBeaver AWS provides.
What is most valuable?
One of the best features CloudBeaver AWS offers is the unified database management. The ability to manage multiple database technologies from a single interface on AWS is exceptional. It uses browser-based access, so it runs entirely in the browser, and no special software installation is required to get it to work. Teams can access the databases from different operating systems through a standard browser.
Another feature I appreciate is the fact that it integrates well with AWS Identity, and it also allows multiple user collaboration.
The feature I rely on the most is the multiple user collaboration because we have a lot of people in our database team, and CloudBeaver AWS allows them to work together at the same time on multiple database services from the same interface.
I am very satisfied with the governance and security of CloudBeaver AWS because it basically provides an avenue to provide controlled access to many engineers without distributing credentials. On the security and governance front, it is very good.
What needs improvement?
The user interface of CloudBeaver AWS can sometimes feel cluttered, so an area of improvement would be to clean up the user interface. It has a lot of menu options and can create a steep learning curve for newcomers. It can be difficult to find features initially because of the busy interface. If the interface could be cleaned up more, that would be a good improvement.
The performance of CloudBeaver AWS can sometimes lag when making connections. Sometimes when running complex queries, it is not as responsive, although that is a common challenge with web-based database management tools. If that could be improved, that would be really good. If it could be sped up more, that would be beneficial.
For how long have I used the solution?
I have been using CloudBeaver AWS for about a year now.
What do I think about the stability of the solution?
CloudBeaver AWS is fairly stable. I found it to be fairly stable and have not experienced a lot of glitches or bugs so far.
What do I think about the scalability of the solution?
CloudBeaver AWS is fairly scalable, although it does tend to lag at certain points. For what it is, I think it deserves a good mark for scalability.
How are customer service and support?
I found customer support for CloudBeaver AWS to be fairly good. I have reached out to them once, and the response was really good. I was really satisfied with the results.
Which solution did I use previously and why did I switch?
I previously used DBeaver, and then I switched because we needed more features. We needed an improved version of DBeaver, so we moved to CloudBeaver AWS.
How was the initial setup?
Setup for CloudBeaver AWS was quite easy because it does not require special installation and is quite straightforward and flexible. It does not require all the users to install special software since it is browser-based. Cost-wise, I think it is fair in the cost department, so I think it is fairly acceptable for that.
Which other solutions did I evaluate?
CloudBeaver AWS was our one and only choice. We did not evaluate any other alternatives.
What other advice do I have?
Before using CloudBeaver AWS, you need to consider your use case. If you are an AWS-centric organization, it would be a good fit. If you have DevOps teams that manage shared databases, CloudBeaver AWS will also be a good fit for that. Platform engineering teams and support and operations teams would find it beneficial. If you require auditability in your organization, it will also be a good fit. However, if you have a small environment, it might be overkill for that. If you have advanced ETL workloads, it might not work well with that. If your organization requires heavy offline database work, CloudBeaver AWS might not be such a good fit for you. I would rate this product an 8 out of 10.
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)
Shivam G.
One Interface for Every Database : Solid SQL Editor and ER Diagrams
Reviewed on Jun 10, 2026
Review provided by G2
What do you like best about the product?
What genuinely stands out with DBeaver is how many databases it handles from a single interface. Whether you are working with PostgreSQL, MySQL, MongoDB or even something like Cassandra, you do not need to switch tools. The SQL editor is solid and the autocomplete actually understands your schema which saves a lot of time when writing complex queries. I also use the ER diagram view fairly often when jumping into an unfamiliar database, it gives you a quick visual of how tables relate without having to piece it together manually. And the fact that the community edition is completely free and still covers most day to day needs is honestly hard to beat.
What do you dislike about the product?
The performance can get sluggish when you are working with large datasets or running heavy queries, and sometimes the UI freezes for a few seconds which breaks your flow. Connection drops when the session has been idle for a while is another thing that comes up more than it should. The interface also has a bit of a cluttered feeling, there are a lot of panels and settings and it can feel overwhelming if you are new to it. The fact that NoSQL and cloud databases like Redshift or BigQuery are locked behind the paid Pro version is also a bit frustrating when you are used to having everything available for free. SSH tunnel setup in particular has a noticeable learning curve that the documentation does not always make easier.
What problems is the product solving and how is that benefiting you?
Before DBeaver I was using different clients for different databases which meant constant context switching and maintaining multiple tools. That created a lot of friction especially when a project touched both a relational and a NoSQL database at the same time. Now everything lives in one place and I can query, compare schemas and transfer data across databases without leaving the tool. The visual query builder in Pro also helped team members who were less comfortable with raw SQL get their work done faster. I would estimate it saves me at least 30 to 45 minutes a day just from not having to juggle multiple clients and environments.
Ravindra N.
Efficient Database Management with Multi-Database Support
Reviewed on Jun 09, 2026
Review provided by G2
What do you like best about the product?
I really like DBeaver's multidatabase support and data exploration capabilities. Being able to work with different database systems using a single tool makes my daily database operations much more efficient. The multidatabase connectivity allows me to manage PostgreSQL, MySQL, SQL Server, and other databases all from one interface. The SQL editor is powerful, making query writing, formatting, and execution very convenient. Navigating through databases, schemas, tables, indexes, and relationships is straightforward and easy to understand. I also find the data filtering, sorting, and searching features very helpful during troubleshooting and validation. The export and import options simplify data analysis and reporting tasks. As someone involved in QA and backend validation, the data browsing experience is particularly valuable for investigating bugs or verifying application behavior. The biggest benefit for me is the productivity boost it provides by combining powerful database management capabilities with an intuitive interface.
What do you dislike about the product?
I think the performance really slows down when working with very large datasets or extremely complex queries. Also, the tool offers a lot of functionality, which increases the learning curve for beginners. A more streamlined onboarding experience would make adoption easier for new team members.
What problems is the product solving and how is that benefiting you?
I use DBeaver to manage multiple databases through a single interface, making data validation and troubleshooting faster. It simplifies connecting to various database technologies, saving time and enhancing productivity without needing multiple tools.
Anonymous
It makes database management easier, but performance can be slow.
Reviewed on Jun 01, 2026
Review provided by G2
What do you like best about the product?
I really like the multi-data and data exploration capabilities of DBeaver. With this single tool, I can manage SQL Server, PostgreSQL, and MongoDB. It makes SQL and query writing easy, provides the facility to easily store tables, schemes, and relationships. Data filtering, sorting, and searching can be done very effectively. Export and import features are very useful during data analysis. The most valuable thing is that you don't have to switch between different tools repeatedly for data-based validation and distribution, which makes data verification or issue investigation during QA much faster and easier.
What do you dislike about the product?
Yes, overall DBeaver has been quite good, but there are some areas where improvement is needed, such as when working with very large datasets or complex queries, the performance sometimes feels slow. For beginners, the interface can be a bit complex because there are a lot of options and features available. Resource consumption also feels quite high, especially during large performances.
What problems is the product solving and how is that benefiting you?
I use DBeaver for data validation services, which makes it easy to manage different databases with a single tool. It reduces troubleshooting time for QA and development teams and makes managing complex queries easier.