Sold by: DBeaver CorporationÂ
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
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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)Â .
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.comÂ
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 Governance, Master Data Management, 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
Database Connectivity
Supports multiple database types including AWS RDS, Redshift, Aurora, Athena, DynamoDB, DocumentDB, and Keyspaces with native drivers
Web-Based Management Interface
Lightweight web application for centralized database management accessible across AWS users
Data Visualization and Exploration
Provides data view capabilities in tables and JSON formats with advanced SQL editor featuring syntax highlighting and auto-suggestion
Database Schema Visualization
Generates Entity-Relationship (ER) diagrams for databases, schemas, and tables with export functionality
Multi-Database Query Capabilities
Enables data editing, metadata management, data export, and SQL query execution across SQL and NoSQL database environments
Access Control
Granular access control with least privilege principle for minimizing data breach risks
Data Masking
Dynamic data masking capabilities for protecting sensitive information across different database platforms
Multi-Platform Support
Comprehensive database access support for SQL, NoSQL, and cloud database platforms including Oracle, AWS RDS, and Snowflake
Authentication Integration
Seamless integration with multiple authentication protocols including SAML, LDAP, SSO, and Secret Passwords Vault
Deployment Flexibility
Supports multiple deployment options including EC2, Docker, Kubernetes, and AWS Fargate containerization platforms
Database Management
Free lightweight relational database management system with comprehensive data storage capabilities
Resource Optimization
Minimal system resource consumption designed for deployment in low-end hardware and resource-constrained environments
Data Storage Architecture
Supports efficient data storage, retrieval, and database creation with robust application development capabilities
Scalability
Designed for small-scale applications with flexible database management features
Security Framework
Provides secure data storage solution with built-in reliability and integrity protection mechanisms
Standard contract
No
Customer reviews
John D.
Excellent SQL Tool for Effortless Data Exploration
Reviewed on Nov 25, 2025
Review provided by G2
What do you like best about the product?
It's a great SQL tool that lets you view source data without having to commit to implementing data via etl's. We use a cloud based data source to house our data but I use DBeaver to check and view certain data sources before committing to pulling it all.
What do you dislike about the product?
It's really complicated to get certain oracle integrations set up, but once it's complete, you don't have a lot of complexity afterwards.
What problems is the product solving and how is that benefiting you?
It lets me have a sneak peek into data sources without committing to the additional cost of ETL data extraction.
Rafael M.
All-in-One Database Solution with Intuitive Interface
Reviewed on Nov 11, 2025
Review provided by G2
What do you like best about the product?
A universal database support, user-friendly, all-in-one interface, sql editor and data export and management.
What do you dislike about the product?
It has some limited features in the free version.
What problems is the product solving and how is that benefiting you?
Unified management of different types of databases in a single interface, promoting simplified administration and automation of repetitive tasks.
Danilo D.
Practicality and ease of use
Reviewed on Oct 13, 2025
Review provided by G2
What do you like best about the product?
What attracts me most about using DBeaver is how easy and practical it is to configure it to manage my databases.
What do you dislike about the product?
Maybe a dark theme look, which would make it easier to see
What problems is the product solving and how is that benefiting you?
Database administration with simplicity and dynamism
Kirubel A.
I really like the way it helps me manage my databases, the UI is very good simple to use
Reviewed on Oct 08, 2025
Review provided by G2
What do you like best about the product?
I really loved the GUI and it's simplistic design
What do you dislike about the product?
It disconnects frequently if idle for few minutes and requires refreshing
What problems is the product solving and how is that benefiting you?
I can see my database structures and the datasets I've. It helps me run query tests without code development so I can understand the use case better in a very short period of time
Information Technology and Services
A powerful, open-source database management tool that served purpose to check sqlite database.
Reviewed on Sep 30, 2025
Review provided by G2
What do you like best about the product?
DBeaver offers a very user-friendly interface with advanced features that saved me a lot of time in validating SQLite database content. I really appreciate how effortlessly this tool allows easy access and management of databases.
What do you dislike about the product?
While DBeaver is a great tool overall, it can feel a bit heavy at times, especially when working with large databases. However, this is minor compared to the overall benefits it provides.
What problems is the product solving and how is that benefiting you?
DBeaver helps me open and work with SQLite databases that I use in my project. Compared to accessing databases through the terminal, DBeaver makes the process much easier, with a clear and readable interface that provides a better understanding of the database structure.