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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Features and programs
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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 25.2:
Administration:
- Permission configuration for connections has been simplified, providing a clearer appearance and improved performance.
- LDAP authentication now supports case-insensitive Distinguished Names (DNs), allowing login with mixed-case DNS.
Security:
- Fixed a security issue in the Spatial Viewer for the HTML content to prevent a third-party script execution.
- Fixed the critical vulnerability (CVE-2025-61927) in the Happy DOM library. The library was updated to version 20.0.2.
SQL Editor:
- A confirmation prompt has been added to the SQL Editor to prevent accidental execution of potentially dangerous queries. You can customize this behavior in Preferences > SQL Editor.
- A search field has been added to the catalog/schema selector on the main toolbar for easy navigation.
- Alphabetical order has been added to the autocomplete values in the SQL Editor to simplify object search.
- Added support for temporary tables in semantic analysis.
Data Editor:
- The ability to review the database query after applying filters and sorting in the Data Editor, Grouping panel, and Result sets has been added. The new Show SQL button is placed on the Filter panel.
- The value panel in the Data Editor has been redesigned to give users more space for viewing and editing data. Tab buttons for different data type visualizations are now aligned on a single level, creating a cleaner layout.
- Added visualization for column reordering in the Data Editor.
- Fixed an issue in the Data Editor where resizing one column in a wide table caused previously resized columns to revert to their original width. Users can resize multiple columns as intended.
General:
- A reorder tabs option has been added to the application, allowing users to set editor tabs in custom positions.
- Keyboard navigation has been improved across the application. Additional shortcuts are available in the main info panel (top-right corner) to help discover them faster. Relevant keyboard shortcuts are also shown in the tooltips of Data Editor buttons.
- The database navigator now automatically hides empty subfolders in shared projects, reducing visual clutter.
Databases:
- ClickHouse: query canceling support has been added.
- DuckDB: fixed an issue where catalog selection was lost upon disconnection.
- PostgreSQL: fixed support for GIS data types.
- SQL Server: the driver has been updated to version 13.2.1.
- The "Show all databases" setting has been added on the connection page for MySQL and MariaDB.
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
Rishab S.
Versatile Query Management with Customization Perks
Reviewed on Feb 22, 2026
Review provided by G2
What do you like best about the product?
I use DBeaver to query my Postgres database across various environments. I find it solves the problem of having to save queries explicitly, and I'm impressed with the connection manager. I really like how I can define a database connection based on the environment and customize it with different configurations, such as enabling auto commit or selecting IDE colors. I also like that the query editor files auto-save. Another reason I switched to DBeaver from pgAdmin is the auto commit feature and the reliability and ease of maintaining different environment connections, which was a big reason for the switch.
What do you dislike about the product?
I won't say that it doesn't do well, but can be improved is the auto reload of databases once a new DB is created on any environment. The initial setup was a little bit challenging, as it was not very easy to understand until I did not review the documentation.
What problems is the product solving and how is that benefiting you?
DBeaver solves the problem of saving queries and offers a great connection manager. I love its environment-based database connections, custom configurations like auto commit, and auto-saving query files. It was a big reason for switching from pgAdmin.
Niranjana Devi D.
Versatile Open-Source DB Management Across SQL and Postgres
Reviewed on Feb 18, 2026
Review provided by G2
What do you like best about the product?
An open-source DB management tool that works with different databases, including SQL and Postgres.
What do you dislike about the product?
I find it really challenging to use the SSH configuration, especially the jump server setup.
What problems is the product solving and how is that benefiting you?
Because it’s open source, it helps us avoid licensing costs, and its support for multiple databases is another major advantage.
Sarthak J.
Unified View for Multiple Databases in One Place
Reviewed on Feb 18, 2026
Review provided by G2
What do you like best about the product?
The ability to access different types of DB's in one unified view
What do you dislike about the product?
The process to run a query on the data can be simplified
What problems is the product solving and how is that benefiting you?
Accessing and making changes to our data is quite streamlined with the help of DBeaver.
Terrence E.
Powerful Data Querying and Analysis Tool
Reviewed on Jan 27, 2026
Review provided by G2
What do you like best about the product?
The ability to query and analyze data from a variety of sources.
What do you dislike about the product?
Customer service is not very responsive.
What problems is the product solving and how is that benefiting you?
DBeaver is helping us analyze data and create a wide variety of reports.
Shailesh S.
Easy Database Connections That Speed Up Query Writing and Testing
Reviewed on Jan 22, 2026
Review provided by G2
What do you like best about the product?
It’s easy to connect to different databases, and it makes writing and testing queries much faster and more straightforward.
What do you dislike about the product?
It can feel slow at times, and the UI can get cluttered when I’m working with a lot of connections, which makes it harder to stay organized.
What problems is the product solving and how is that benefiting you?
It makes working with multiple databases much simpler, saves time when running queries, and boosts my day-to-day productivity.