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 25.3.0: Security:
- Enforced complete logout and screen data clearance upon session expiration.
- Fixed the high vulnerability (CVE-2026-25639) in the axios library. The library was updated to version 1.13.5.
Administration:
- Added support for mapping users to CloudBeaver teams based on LDAP memberOf group membership.
- Change the User list settings in the Administration part to show both active and inactive users by default.
SQL Editor:
- Added support for parameters and variables in queries. This feature allows queries to be reused by changing parameters at execution time. Enabled by default and configurable in personal preferences.
- Added SQL preview to the Bind parameters/variables dialog to review queries with changed values on the fly.
- Enabled Tab key for autocompletion in the SQL Editor alongside the Enter key.
- Added a new setting in the SQL Editor to highlight spaces, tabs, and other whitespace characters to help users read, debug, and maintain their scripts. It is turned off by default and can be configured in personal preferences.
- Dangerous query confirmation is now shown for all DROP statements, not just for tables.
Data Editor:
- Added ability to automatically generate INSERT, SELECT, DELETE, and UPDATE statements for the selected values.
- Added undo and redo functionality for cell edits, row operations, and other data modifications. Retains the last 50 actions across the Data Editor, result sets, and related panels.
- Added "Use local formatting" setting. Users can choose how to display numbers and dates: using the OS locale, a custom locale, or keeping values unformatted. This formatting applies only to displayed values. Data in the database remains unchanged.
- Added column pinning to keep key columns (e.g., IDs, names) visible while horizontal scrolling through wide tables.
- Added status indicator icon in the top-left corner with tooltips explaining table editability. Indicates presence of primary keys, read-only connection settings, or read-only columns.
- Added shortcut Ctrl/Cmd + . to cancel operations in Data Editor.
- Fixed application freeze in canceling fetch size requests for large tables.
Navigator tree:
- Added the ability to duplicate connection configuration in the project navigation tree. The "Clone connection" feature is available in the context menu.
- Added the ability for users to configure the Simple or Advanced view in the Navigation tree for all connections or for each connection separately.
- Added the ability to show table objects, such as columns or keys, in the Navigation tree. The setting is disabled by default and can be turned on in the Navigator settings panel.
- Added the ability to rename connections via context menu in the Navigation Tree. Added Connection Info tab to display basic information about the current connection for all users.
General:
- Added support for long polling as a fallback when WebSockets are unavailable or blocked. Ensures reliable communication for metadata updates and SQL execution. Extended browser support to versions up to three years old.
- Redesigned the connection configuration page. Reorganized form fields and sections to provide more input space and reduce visual clutter.
- Expanded pointer target areas for icons in the Navigator, editors, and tabs according to the accessibility standards.
- Fixed a keyboard navigation issue for panels to keep the focus inside.
- Renamed "Database Native" authentication type to "Username/password" in the connection dialog.
- Fixed issue where the missing pg_dump utility caused errors during initialization or deployment updates when PostgreSQL was selected as the inner database.
Databases:
- ClickHouse: -- Updated driver to version 0.9.5. -- Added spatial data support. -- Fixed an issue with displaying arrays of UUID, IPv4/IPv6, and Map types. -- Fixed JSON data type reading. -- Resolved an issue with CTE expressions.
- DuckDB: -- Updated driver to version 1.4.4.0. -- Added support for the dollar-quoted string syntax for the SQL Editor. -- Oracle: Added a new "Set Username to OS_USER" option in the Misc section of Oracle connection settings. Automatically uses the current database username as the operating system user identifier in session metadata when enabled. -- PostgreSQL: Added DDL display support for PostgreSQL policies.
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
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.
Health, Wellness and Fitness
Great for Managing Multiple Databases with Handy Tabbed Queries
Reviewed on Apr 07, 2026
Review provided by G2
What do you like best about the product?
I like that it can manage multiple databases at the same time. I also like the tabbed queries, which make it easier to keep several queries open and switch between them.
What do you dislike about the product?
The UI feels cumbersome for a new user. I’m sure DBeaver can do many things that I just haven’t found yet, mainly because I find the help guides difficult to learn from. It also loses connection to my various databases, and the only way I’ve been able to restore it is by restarting the app.
What problems is the product solving and how is that benefiting you?
It lets me work across several databases at the same time. I can run multiple queries without having to open separate apps, which keeps everything in one place. The ability to copy, paste, and sort the query results is also very helpful when I’m trying to find specific pieces of data.