Sold by: DBeaver Corporation
Deployed on AWS
Free Trial
AWS Free Tier
Database management tool for relational databases
4.4
Overview
EC2-instance for the CloudBeaver open-source version. CloudBeaver Community supports all main relational databases like: PostgreSQL, MySQL, Oracle, SQL Server, Firebird and other. It provides powerful SQL-editor and data editor for data management.
Highlights
- With CloudBeaver Community you can look through and edit data from SQL databases.
- For experienced users CloudBeaver Community suggests the advanced SQL-editor with syntax highlighting and auto-suggestion.
- Data export in different formats is available out-of-the box.
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 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.
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 |
|---|---|
t2.medium Recommended | $0.05 |
t2.micro | $0.05 |
t3.large | $0.05 |
t3.medium | $0.05 |
t2.large | $0.05 |
m5.large | $0.05 |
m4.large | $0.05 |
m5.xlarge | $0.05 |
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 support for custom startup arguments when running CloudBeaver in a container. Administrators can specify configuration file locations to adapt the application to their environment.
- Updated the manifest.webmanifest file to generate dynamically based on the CLOUDBEAVER_ROOT_URI environment variable.
Authorization:
- Added HTTP header authentication support for GraphQL queries. Users can provide API tokens via Authorization or X-Api-Key headers, allowing external data tools to authenticate without modifying request bodies.
SQL Editor:
- Added an ability to view and edit scripts without connecting to the database.
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.
- Added a DDL generation option to the Data Editor and Result Set context menu.
Accessibility:
- Added the Skip to content option for quick keyboard access to the Navigator Tree, editors, and shortcuts list tab to improve application accessibility.
- Added the Ctrl + / keyboard shortcut to open the context menu for selected cells in the Data Editor.
- Fixed contrast for elements across different application parts in the light and dark themes to meet WCAG requirements.
Databases:
- ClickHouse: Fixed the display of Array(JSON) types in the data grid. Updated driver version to 0.9.7.
- DuckDB: Fixed map rendering for GEOMETRY types with CRS parameters. Fixed geometry type display for database versions > 1.5.
- H2 database: Added new embedded driver version 2.4.2. Updated server driver to version 2.4.2.
- MySQL: Fixed query boundaries recognition in the SQL Editor for scripts with the DELIMITER keyword.
- PostgreSQL: Updated driver to version 42.7.11. Fixed handling of 24:xx values in time columns.
- SQL Server: Fixed DDL generation for external tables. Fixed the database connectivity issue after the Java update.
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 high vulnerability (CVE-2026-4800) in the lodash library. The library was updated to version 4.18.0.
- Fixed the high vulnerability (CVE-2026-39363) in the vite library. The library was updated to version 7.3.2.
- 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-2026-33943) in the happy-dom library. The library was updated to version 20.8.8.
- Fixed the high vulnerability (CVE-2025-45141) in the tar library. The library was updated to version 7.5.11.
- Fixed the high vulnerability (CVE-2026-27148) in the storybook library. The library was updated to version 10.2.10.
- Fixed the high vulnerability (CVE-2026-27606) in the rollup library. The library was updated to version 4.59.0.
- Fixed the high vulnerability (CVE-2026-27904) in the minimatch library. The library was updated to version 3.1.3.
Additional details
Usage instructions
Usage Instructions: Run the selected EC2 instance with CloudBeaver. Open the link http://<EC2_Instance_Public_DNS>/ to open CloudBeaver configuration wizard in a web browser. Follow the simple steps to configure your CloudBeaver. Share the link with other team-members and start working.
Resources
Vendor resources
Support
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
Top
10
In Data Analytics
Top
10
In Data Security and Governance
Top
100
In Source Control, Project Management
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
SQL Editor
Advanced SQL editor with syntax highlighting and auto-suggestion capabilities for query development and execution
Database Support
Support for multiple relational database systems including PostgreSQL, MySQL, Oracle, SQL Server, and Firebird
Data Management
Data editor functionality enabling viewing and editing of data within SQL databases
Data Export
Data export capability supporting multiple output formats
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.
Relational Database Management System
SQL Server 2019 Express provides relational database management capabilities for storing, retrieving, and managing structured data with support for database creation and management operations.
Lightweight Resource Footprint
The product has a small footprint and requires minimal system resources, making it suitable for deployment on low-end hardware or in resource-constrained environments.
Data Integrity and Availability
The system ensures data integrity and availability through reliable and secure data storage mechanisms for protecting stored information.
Multi-Database Support
Capability to create and manage multiple databases with support for building robust applications on top of the database infrastructure.
Standard contract
No
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.