Sold by: DBeaver Corporation
Deployed on AWS
Free Trial
AWS Free Tier
Universal database management tool
4.4
Overview
CloudBeaver is a new universal interface for data management developed by the DBeaver team. CloudBeaver is especially adapted for AWS Cloud services. This is the light web-application that you can share among all AWS users within your company. CloudBeaver allows:
- view and edit data and metadata of your databases
- export data from tables
- run SQL-queries for SQL and NoSQL databases
- view ER-diagrams for database objects and export them. Out-of-the-box CloudBeaver supports: AWS RDS (PostgreSQL, MySQL, Oracle, SQL Server), AWS Redshift, Aurora, Athena, DynamoDB, DocumentDB and Keyspaces. You can also create connections to your custom databases. Tens drivers are already included.
Highlights
- CloudBeaver works easily with your databases in AWS. In a few clicks you can setup a CloudBeaver server with connections to all your AWS and third-party databases. These connections are available for all users in your company and consider AWS permissions.
- CloudBeaver shows data from SQL and NoSQL databases as tables or in JSON view. For experienced users CloudBeaver suggests the advanced SQL-editor with syntax highlighting and auto-suggestion.
- You can look at the structure of your database on ER-diagrams. ER-diagrams are available for databases, schemas and tables.
Details
Sold by
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
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 30 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 |
|---|---|
t3.large Recommended | $1.50 |
t2.micro | $0.20 |
m5.4xlarge | $8.60 |
m4.large | $1.50 |
m5.large | $1.50 |
t3.medium | $0.60 |
t2.medium | $0.60 |
m5.xlarge | $2.80 |
t2.large | $1.50 |
m5.2xlarge | $4.60 |
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:
Security:
- Fixed a security issue in the Spatial Viewer for the HTML content to prevent a third-party script execution.
- Fixed a critical vulnerability (CVE-2025-61927) in the Happy DOM library by updating it to version 20.0.2.
Administration:
- Permission configuration for connections was simplified, providing a clearer appearance and improved performance.
- Added support for case-insensitive Distinguished Names (DNs) in LDAP authentication. Users can now log in using mixed-case DNs.
AI Assistant:
- New AI engine support: -- Anthropic Claude -- Amazon Bedrock
- Added the ability to automatically determine the proper context and send only relevant objects to AI (experimental): this allows you to use AI tokens more efficiently to reduce costs and improve the accuracy of results (using RAG technology). It is disabled by default.
- OpenAI: Added an endpoint parameter for the OpenAI API base URL and legacy API support setting in the Administration section.
- Added the ability to execute scripts, not only queries, from the AI Chat with the Execute script button.
- Added current schema/database information to the scope representation in AI Chat.
- Made AI Chat accessible directly from the Visual Query Builder panel, enabling users to create queries and review execution results in one place.
SQL Editor:
- Added a confirmation prompt to prevent accidental execution of potentially dangerous queries. This behavior can be customized in Preferences > SQL Editor.
- Added a search field to the catalog/schema selector on the main toolbar for more straightforward navigation.
- Ordered autocomplete suggestions alphabetically in the SQL Editor to simplify object discovery.
- Added support for temporary tables in semantic analysis for autocompletion and highlighting.
- Users can now select any query from a multi-query script as a source for the Visual Query Builder, eliminating the need to split scripts. Previously, only a script with one query could be recognized.
Charts:
- Redesigned the chart view: added tooltips, improved labels, and added a brush panel for navigation.
- Added a new Area chart type, allowing users to explore and present part-to-whole relationships and comparative magnitudes.
- Redesigned the chart settings dialog and added special features to:
- Add support for stacking multiple measures and generating pivot charts via breakdown fields
- Enable the ability to show values right on the chart element.
- Added support for exporting charts in SVG and PNG formats.
Data Editor:
- Added the Show SQL button to the Filter panel that allows users to review the database query generated after applying filters and sorting. This feature is available in the Data Editor, Grouping panel, and Result Sets.
- Redesigned the JSON data view for NoSQL databases: -- Added the ability to expand and collapse elements -- Introduced color-coded data types for improved readability -- Made JSON links clickable
- Redesigned the value panel to provide more space for viewing and editing data. Tab buttons for different data type visualizations are now aligned on a single level for 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:
- The ability to create and use API Tokens for automating tasks and interacting with the GraphQL API has been added for all users, except anonymous.
- Enabled logging of data export queries in Query Manager and Query History, allowing the review of all SELECT/INSERT queries executed before or during data transfers.
- Added the ability to reorder tabs in the application, letting users customize the position of editor tabs.
- Improved keyboard navigation across the application. Additional shortcuts are now available in the main info panel (top-right corner), and relevant shortcuts are also shown in tooltips for Data Editor buttons.
- The database navigator now automatically hides empty subfolders in shared projects, reducing visual clutter.
Databases and drivers:
- New database drivers added: -- Aurora DSQL -- Greengage -- FerretDB
- ClickHouse: added support for query cancellation.
- Cosmos DB NoSQL: -- Added JSON data visualization in the Data Editor. -- Added the Microsoft Entra ID authentication connection type.
- Databricks: -- Renamed the connector name from Azure Databricks to Databricks. -- The driver version was updated to 1.0.9-oss. -- Added the new authentication connection method, OAuth (Machine-to-Machine).
- DuckDB: fixed an issue where catalog selection was lost upon disconnect.
- PostgreSQL: fixed support for GIS data types.
- SQLite: added the ability to connect via URL on the Connection page.
- Added a Show all databases setting on the connection page for MySQL and MariaDB.
Driver updates:
- Athena was updated to version 3.26.0.
- Google BigQuery was updated to version 42_1.6.3.
- Exasol: driver was updated to version 25.2.3 and removed from the pre-downloaded drivers list.
- Redshift was updated to version 2.2.0.
- Snowflake was updated to version 3.27.0.
- SQL Server was updated to version 13.2.1.
- Yellowbrick connection now uses the native Yellowbrick driver version 0.9.3.
Additional details
Usage instructions
- Run the selected EC2 instance with CloudBeaver.
- Open the link to your new EC2 instance in browser.
- Follow the simple steps to configure your CloudBeaver.
- Share the link with other team-members and start working.
Resources
Vendor resources
Support
Vendor support
Online support support@dbeaver.com
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
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In Data Governance, Master Data Management, Data Analytics
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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
Multi-Database Support
Supports AWS RDS (PostgreSQL, MySQL, Oracle, SQL Server), AWS Redshift, Aurora, Athena, DynamoDB, DocumentDB, Keyspaces, and custom databases with tens of included drivers
SQL Query Execution
Advanced SQL editor with syntax highlighting and auto-suggestion for executing queries against SQL and NoSQL databases
Data Visualization and Export
View and edit database data and metadata with support for table and JSON view formats, and export data from tables
Entity-Relationship Diagram Generation
Generate and export ER-diagrams for databases, schemas, and table structures
AWS Permission Integration
Database connections respect AWS permissions and are shareable across all company users through centralized server setup
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.