Sold by: DBeaver Corporation
Deployed on AWS
The enterprise-level data management and database administration tool adapted for AWS infrastructure.
4.4
Overview
DBeaver Team Edition is the enterprise-level universal interface for data management.
It includes a wide range of team collaboration features to provide a secure and efficient way for database administration and data analysis in large organizations.
DBeaver Team Edition server supports two alternative interfaces: web and desktop. It is especially adapted for AWS Cloud services for user and permission management. Out-of-the-box DBeaver Team supports: AWS RDS (PostgreSQL, MySQL, Oracle, SQL Server), AWS Redshift, Aurora, Athena, DynamoDB, DocumentDB and Keyspaces. Users can also create connections to other databases. Tens drivers are already included.
Highlights
- DBeaver Team Edition Server deploys easily on AWS and provides your team with a centralized database management platform. In a few clicks you can set up shared connections to all your AWS and third-party databases with granular access controls. Administrators manage permissions, connections, and projects from one place - while team members access everything through the web interface or desktop client.
- Team Edition enables real-time collaboration on SQL scripts, datasets, and database objects across your organization. Enterprise-grade security features include SSO integration with AWS IAM, comprehensive query audit trails, and role-based access controls - helping you meet SOC 2, GDPR, and HIPAA compliance requirements.
- Built-in AI assistant helps your team write, debug, and optimize SQL queries directly in the browser or desktop app. Advanced features include ER-diagram visualization, data transfer and migration tools, automated task scheduling on the server, and performance monitoring dashboards.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24
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
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
Administrator | Role allowing to configure the server, manage setup, and control team access to resources. | $0.11 |
Developer | Role providing full access to features for database administration and development. | $0.06 |
Editor | Role for data processing and analysis in the web UI with dataset modification rights. | $0.02 |
Manager | Role allowing writing SQL queries without access to administration and connection setup. | $0.04 |
Viewer | Role allowing view, filter, and export datasets without the ability to modify data. | $0.01 |
Dimensions summary
You pay per named user, and each user is assigned one of five roles. The roles are Administrator, Developer, Editor, Manager, and Viewer. Each role carries its own price based on the access it grants. You choose how many users you need in each role and add them to your order. Your total is the sum across all roles. A minimum of three users applies, and one must be an Administrator. Desktop clients need no separate license. Billing runs on an annual subscription, and you can add users during the active term.
Top-of-mind questions for buyers
Administrators configure the server and control team access. Developers get full database administration and development features. Editors process and analyze data with dataset modification rights. Managers write SQL queries without administration access. Viewers can view, filter, and export datasets but cannot modify data. Assign each user the role matching their tasks.
Yes. You do not need separate licenses for desktop clients. Each named user can access Team Edition through either the web interface or the desktop application. The role license covers both. This lets people switch between desktop and web without losing progress on their tasks.
Each role carries its own price. Your total adds up the count in each role multiplied by that role's price. You must have at least three users total, and one must be an Administrator. You can add more users in any role during the active subscription term.
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Refund within 30 days
Legal
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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) .
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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". Updated user role modifications and deletions for multiserver licenses to take effect immediately, without requiring re-login. Added an ability to update license information from the server on demand. The Refresh button is available on the License tab. Restored the ability to use the zip extension library type for driver downloads.
General: Datasets based on SQL queries don't use the query name as the file name when exporting files for Editors and Viewers. Added fallback event handling for cases when Kafka is unavailable. This prevents long delays in actions such as saving configurations or resources.
Security: 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-2026-35554) in the kafka-clients library. The library was updated to version 3.9.2.
MCP: 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, allowing customers to review the third-party application's request and permissions on a dedicated consent screen.
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. Added the TOOLS & MCP Section into the AI Settings in the Administration part. External and internal agents can be configured there by administrators. Passed the read-only connection flag to the AI assistant context via the system prompt. The assistant recognizes permission restrictions and generates responses that respect database constraints. 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.
SQL Editor: Added an advanced graph visualization for SQL execution plan. The view highlights the most expensive nodes and routes, allows hiding irrelevant elements, and shows node details.
New databases support: Valkey Microsoft Fabric GizmoSQL
Driver updates: Athena: The default driver was updated to the AWS Athena JDBC driver. The previous driver is still available as Athena (Legacy). BigQuery: Added a new driver - BigQuery (Experimental). ClickHouse driver was updated to version 2.4.2. CSV, JSON, Parquet, XLSX, XML drivers: Added support for grouping multiple data files into a single table H2GIS driver was updated to the latest version. H2 driver was updated to version 2.4.2. InterSystems IRIS driver was updated to version 3.10.5. Oracle: Added authentication with Microsoft Entra ID. 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. TimescaleDB: Added authentication with Microsoft Entra ID
Additional details
Usage instructions
- Run the selected EC2 instance with DBeaver TE Server.
- Open the link to your new EC2 instance in browser.
- Follow the simple steps to configure your DBeaver TE Server.
- Share the link with other team-members and start working.
Resources
Vendor resources
Support
Vendor support
Support is provided through the online support system
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.
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.
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.