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 26.0.0:
Data Editor:
- Added the ability to manage query filters: save, rename, delete, and search for the needed filter.
- Added the ability to show multiple selected rows in the Text record mode.
- Added a group row striping option that allows rows to be colored by column values in the result grid.
AI Assistant:
- Context sending was improved. DBeaver now sends only the information needed for the current AI request and avoids sending unnecessary data. This helps reduce token usage for the same operations.
Data Transfer:
- The first page of the Data Export wizard was redesigned. Less frequently used settings were moved to advanced sections.
Navigator:
- Added indicators for connection view type (Simple, Advanced, or Custom) and updated simple view mode switching.
Third-party tools:
- Added the ability to import JetBrains database connections by pasting the datasource configuration text directly into the import wizard.
New drivers:
- Added support for GizmoSQL.
- Added a new driver - BigQuery (Experimental).
Driver updates:
- Athena driver was updated to version 3.7.0.
- ClickHouse driver was updated to version 0.9.7.
- H2GIS driver was updated to version 2.2.3.
- H2 driver was updated to version 2.4.240.
- InterSystems IRIS driver was updated to version 3.10.5.
- PostgreSQL driver was updated to version 42.7.11.
- Redshift driver was updated to version 2.2.6.
- Snowflake driver was updated to version 4.1.0.
- SQL Server driver was updated to version 13.4.0.
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
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.
Tayyab N.
Effortless Connections to a Variety of RDBMS Systems
Reviewed on Apr 24, 2026
Review provided by G2
What do you like best about the product?
Ease of connecting to a variety of RDMS systems.
What do you dislike about the product?
Nothing in particular to point out at the moment; so far, it meets all my requirements.
What problems is the product solving and how is that benefiting you?
Managing, connecting to, and querying RDBMS databases, including on-premises systems and cloud-hosted MySQL databases in particular.
Sumit T.
DBeaver: Clean UI, Works with Any Database, and Packed with Handy Extras
Reviewed on Apr 08, 2026
Review provided by G2
What do you like best about the product?
DBeaver is great because it lets me work with almost any database in one place. The UI is clean and easy to navigate, and it makes querying and editing data straightforward. I also appreciate the handy extras like ER diagrams, export options, and SSH support, while still being free and simple to use.
What do you dislike about the product?
DBeaver can feel a bit laggy at times, and it tends to slow down even more when I’m working with large datasets.
On the plus side, setup in DBeaver has been pretty easy for me, with no issues there. The only thing I haven’t really tried yet is the AI features, so I can’t say how useful they are for real day-to-day work.
On the plus side, setup in DBeaver has been pretty easy for me, with no issues there. The only thing I haven’t really tried yet is the AI features, so I can’t say how useful they are for real day-to-day work.
What problems is the product solving and how is that benefiting you?
DBeaver removes the hassle of juggling multiple database tools by bringing everything into one place. I can connect to different databases, run queries, and review data easily, which saves me a lot of time. It also speeds up debugging and data validation, which is especially helpful during testing, analysis, or general troubleshooting.