Sold by: DBeaver Corporation
Deployed on AWS
Free Trial
Universal Desktop Database Tool on Windows Server.
4.4
Overview
This product is an adopted version of DBeaver Community Edition for AWS environment. This is the official product from the DBeaver team. DBeaver Community is a free, open-source database management tool recommended for personal projects and everyday SQL work. Use it to connect to multiple databases, run queries, browse schemas, and view or edit data from one interface. Key features include broad database support via JDBC (MySQL, MariaDB, PostgreSQL, SQLite, SQL Server, Oracle, and many others), an SQL editor with syntax highlighting and auto-completion, a data viewer/editor with schema browsing, and ER diagrams to visualize database structure. This AWS Marketplace offering is delivered as a Windows-based AMI to help you get started quickly in AWS. You can connect to cloud and on-prem databases, including AWS services such as Amazon RDS/Aurora and Amazon Redshift, using standard endpoints and drivers. Secure options like SSL/TLS and SSH tunneling are available depending on your setup.
Highlights
- SQL client with a powerful SQL editor and database browser.
- Works with many databases via JDBC, including MySQL, PostgreSQL, SQLite, SQL Server, and Oracle.
- Connect to Amazon RDS/Aurora and Amazon Redshift using standard endpoints and drivers.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2022 Windows Server 2022
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 14 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.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $0.04 |
t3.large | $0.04 |
r5.large | $0.04 |
t3.xlarge | $0.06 |
r6i.large | $0.04 |
m6i.xlarge | $0.06 |
m5.xlarge | $0.06 |
m6i.large | $0.04 |
Vendor refund policy
A full refund is available within 30 days after the purchase.
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 26.1.0:
General:
Added Product Configuration, which allows users to enable key features and set up important settings before the application starts.
AI assistant:
Added the ability to use different AI engines in separate Chat conversations. Users can add AI Model configurations and select the appropriate profile for each conversation. Added the ability to use the OpenAI engine through engine subscriptions, without configuring personal API tokens.
Data Editor:
Added HTML preview for text/html values in the Value panel. Added a quick filter for query results. You can now filter already fetched rows directly in the result set without re-running the query. Enter a value in the Find field and enable Show matching only to display only matching rows.
Data transfer:
Redesigned the Tables Mapping step for database-to-database transfer. Changed how target tables, columns, value transformations, and primary and foreign keys are configured during data migration.
Connectivity:
Added global network profiles that can be used in all projects. Added support for retrieving passwords from a shell command for native database authentication.
Security:
Fixed the high vulnerability CVE-2026-10050 in the jetty-security library. The library was updated to version 12.1.11. Fixed the high vulnerabilities in the netty-codec libraries. The netty-bom library was updated to version 4.2.16. Fixed CVE-2026-54291. The PostgreSQL driver was updated to version 42.7.13. Fixed an XXE vulnerability caused by an unhardened XML parser, CWE-611. Fixed an XXE vulnerability caused by inconsistent XML sanitization in the Value editor. Fixed an SQL injection vulnerability related to string formatting, CWE-89, in the Exasol extension. Fixed an SQL injection vulnerability related to malicious names of downloaded files. Protected local server port and password data from exposure through dbeaver-instance.properties. Restricted the presentation and execution of malicious content in AI Chat. Fixed unintended execution of executable files opened from Windows UNC paths. Fixed a remote code execution vulnerability related to virtual column creation. Added confirmation and allowlist checks before executing shell commands from connection initialization events.
New drivers:
Apache Doris GreptimeDB Timeplus
Driver updates:
ClickHouse driver was updated to version 0.10.0. Databend driver was updated to version 0.4.8. Databricks driver was updated to version 3.4.1. Starrocks driver was updated to version 1.1.2.
Databases:
BigQuery: The official BigQuery driver is now used by default, and the previous Simba driver was renamed to BigQuery Legacy. LibSQL: Added support for database views.
Additional details
Usage instructions
- Launch an EC2 instance from this AMI.
- Ensure your Security Group allows inbound RDP (TCP 3389) from your IP address.
- Retrieve the Windows Administrator password in the EC2 console (Get Windows password) using your key pair.
- Connect to the instance via RDP using the public IP/DNS name and the Administrator credentials.
- DBeaver Community Edition starts automatically after login. If it does not start, launch it from the Desktop shortcut or Start menu.
Resources
Vendor resources
Support
Vendor support
Support is available by email: support@dbeaver.com . As this product is based on the open-source version, support is applicable only for the AWS installation process. The feature-related support provided on GitHub:
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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Customer reviews
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.
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.
Swarnima G.
All in one database tool that improves productivity and simplifies workflow
Reviewed on May 19, 2026
Review provided by G2
What do you like best about the product?
What I like best about DBeaver is how easy it makes working with multiple databases in one place. Instead of switching between different tools, everything is available in a single interface, which really improves daily workflow.
The UI is clean and practical, and once you get used to it, navigating through tables, queries, and schemas feels straightforward. It is not flashy, but it is efficient, which is what matters most for database work.
Integration support is another strong point. It works with a wide range of databases, so it fits well into different projects without needing extra tools. This flexibility saves a lot of setup time.
Performance is generally solid even when working with large datasets. Query execution and browsing data feels smooth in most cases, which helps when working under time pressure.
From a pricing and ROI perspective, the free version already offers a lot of value. It covers most daily needs without requiring an upgrade, which makes it a cost effective choice for individuals and teams.
Support and onboarding are decent, and while it is not heavily guided, the tool is intuitive enough that most things can be figured out quickly with basic experience.
The UI is clean and practical, and once you get used to it, navigating through tables, queries, and schemas feels straightforward. It is not flashy, but it is efficient, which is what matters most for database work.
Integration support is another strong point. It works with a wide range of databases, so it fits well into different projects without needing extra tools. This flexibility saves a lot of setup time.
Performance is generally solid even when working with large datasets. Query execution and browsing data feels smooth in most cases, which helps when working under time pressure.
From a pricing and ROI perspective, the free version already offers a lot of value. It covers most daily needs without requiring an upgrade, which makes it a cost effective choice for individuals and teams.
Support and onboarding are decent, and while it is not heavily guided, the tool is intuitive enough that most things can be figured out quickly with basic experience.
What do you dislike about the product?
One thing I do not like about DBeaver is that the interface can feel a bit cluttered at times. There are many options and panels available, which is powerful, but it can also make it harder to quickly find what you need, especially for new users.
Another challenge is performance when working with very large datasets. It generally works well, but in some cases scrolling through big tables or running heavy queries can feel slower compared to lighter tools, which can affect productivity a bit during peak work.
The onboarding experience could also be smoother. While the tool is flexible, it does not always guide new users through advanced features, so there is a bit of trial and error involved in the beginning.
From an integration perspective, it supports many databases, which is great, but setting up certain connections sometimes requires extra configuration steps that are not immediately obvious.
Overall, it is a very capable tool, but a bit more simplicity in the UI and improved performance consistency would make the experience even better.
Another challenge is performance when working with very large datasets. It generally works well, but in some cases scrolling through big tables or running heavy queries can feel slower compared to lighter tools, which can affect productivity a bit during peak work.
The onboarding experience could also be smoother. While the tool is flexible, it does not always guide new users through advanced features, so there is a bit of trial and error involved in the beginning.
From an integration perspective, it supports many databases, which is great, but setting up certain connections sometimes requires extra configuration steps that are not immediately obvious.
Overall, it is a very capable tool, but a bit more simplicity in the UI and improved performance consistency would make the experience even better.
What problems is the product solving and how is that benefiting you?
Before using DBeaver, working with different databases meant switching between multiple tools depending on the system. It slowed things down and made it harder to keep a consistent workflow across projects.
With DBeaver, everything is now in one place. It supports multiple database types in a single interface, so it is much easier to run queries, compare data, and manage schemas without constantly changing tools. This has saved a noticeable amount of time during daily work, especially when handling multiple environments at once.
Query execution and data browsing are also more efficient now. Tasks that used to take extra steps or tool switching can be done directly in one workspace, which has improved overall productivity and reduced friction in development and analysis work.
It has also helped reduce dependency on multiple paid tools since the free version already covers most use cases. Overall, it has simplified database management and made day to day work more organized and faster.
With DBeaver, everything is now in one place. It supports multiple database types in a single interface, so it is much easier to run queries, compare data, and manage schemas without constantly changing tools. This has saved a noticeable amount of time during daily work, especially when handling multiple environments at once.
Query execution and data browsing are also more efficient now. Tasks that used to take extra steps or tool switching can be done directly in one workspace, which has improved overall productivity and reduced friction in development and analysis work.
It has also helped reduce dependency on multiple paid tools since the free version already covers most use cases. Overall, it has simplified database management and made day to day work more organized and faster.
Aaron M.
Straightforward Database Setup, But the UI Feels Less Intuitive Than Competitors
Reviewed on May 01, 2026
Review provided by G2
What do you like best about the product?
It worked well when connecting to different types of databases, and I found the setup straightforward overall.
What do you dislike about the product?
It’s not very straightforward to use, and it isn’t as easy as its competitors.
What problems is the product solving and how is that benefiting you?
Connecting to MySQL databases from Linux without having to rely on the command line.
Mohit T.
DBeaver: Rock-Solid, Free Multi-Database Tool
Reviewed on May 01, 2026
Review provided by G2
What do you like best about the product?
DBeaver connects to everything I throw at it — Postgres, MySQL, SQL Server, even MongoDB — without making me buy different tools. The UI isn't winning design awards, but it's laid out well enough that I never feel lost, and performance has been rock solid with no crashes on large queries. The Community Edition is completely free, which is insane value compared to paid alternatives. Support is mostly community forums and old Stack Overflow threads, but onboarding is basically plug-and-play — install, connect, and you're off. The only place it falls short is AI; there's no intelligent query generation or natural language help, just basic schema-aware autocomplete.
What do you dislike about the product?
The UI feels clunky and dated — like a Java app from ten years ago — and navigating between tabs and connections gets messy fast. Integrations work for standard databases, but connecting to less common data sources is a huge headache with driver issues. Performance is mostly fine, but opening a database with hundreds of tables takes way too long while it scans metadata. Pricing is great for the free version, but the Enterprise edition jumps in cost quickly without adding much you'd actually need. Support is basically nonexistent unless you pay, and onboarding assumes you already know how to troubleshoot driver configs and connection strings. And the AI features? Pretty much a joke — there's nothing intelligent beyond basic autocomplete, and that sometimes gets the schema wrong anyway.
What problems is the product solving and how is that benefiting you?
DBeaver solves the headache of switching between different database tools every time I move from Postgres to MySQL to SQL Server. That benefit is huge — I keep one app open, one set of shortcuts, one way of exporting data. It also solves the problem of visualizing messy database schemas when you're joining seven tables and can't remember how they connect; the ER diagram saves me constantly. And because the Community Edition is free, I don't have to beg for a budget or install sketchy cracked software. The biggest benefit day to day is just speed — I can open it, run a query, and get out without fighting the tool or waiting for it to wake up.