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 25.3: 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.
- Fixed inefficient regular expressions in TypeScript files to prevent potential Denial of Service (DoS) attacks and performance degradation.
- Improved security for deployments by restricting network access to internal services.
- Removed default insecure passwords from example deployment configurations.
Administration:
- Added the Audit log panel to the Administration part. When enabled, the panel shows various user actions, including authentication, connection management, configuration changes, and file operations.
- Added support for mapping users to CloudBeaver teams based on LDAP memberOf group membership.
- The CLOUDBEAVER_PUBLIC_URL variable was removed from all .env files and is no longer available for use.
- Added the ability to store the application workspace in a S3-compatible object storage. To configure, add new variables to the .env file.
- Added the Tech Support button in the bottom left corner of the Administration part for faster communication with DBeaver tech support.
- Changed the User list settings in the Administration part to show both active and inactive users by default.
AI Assistant:
- Added the ability to configure the MCP Server. The service can now be enabled in the Server Configuration section and configured via the AI section of the Connection page by administrators. Ready-to-use client configuration snippets for VS Code, Claude Code, Zed, and Cursor are available to simplify connection setup.
- Added "Enable metrics" option to AI Chat settings. When enabled, the chat displays token counts for user messages and AI responses across all conversation history. The setting remains disabled by default. Provided transparency into AI token consumption for usage awareness and cost management.
- Added the ability to change the default language for responses from an AI engine. This setting can be configured in the AI Settings section in the Administration part.
- Embedding model and dimension settings are now configurable in the AI Settings section of the Administration part for the Azure OpenAI, OpenAI, and GitHub Copilot agents.
- Added the SQL code highlighting for the auto-generated messages in the AI Chat. Different conversation types are now marked with specific icons in the AI Chat.
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.
- Fixed an issue where large JSON columns displayed incorrect values after formatting the content in the Data Editor.
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 SSO login, metadata updates, and SQL execution.
- Extended browser support to versions up to three years old.
- Added the ability to filter by IP address for the Query Manager/Query History.
- 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.
Databases and drivers:
- Added firstRow and rowCount properties to CSV, XLSX, XML, JSON, and Parquet drivers to allow reading specific data ranges from source files. These settings can be configured via connection properties or the table DDL WITH clause.
- Athena: Driver was updated to version 3.27.0.
- Azure Synapse Dedicated SQL Pool and Microsoft Fabric Warehouse: Fixed the display of stored procedure definitions.
- 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
- Databricks: -- Updated Driver version to 3.1.1 -- Added spatial data visualization -- Added machine-to-machine (M2M) authentication support for the Databricks connector, enabling secure, automated access to Databricks workspaces without interactive login
- Db2 LUW: Added Microsoft Entra ID authentication.
- Denodo: Updated driver to version 9.0.
- DuckDB: -- Updated driver to version 1.4.4.0. -- Added support for the dollar-quoted string syntax for the SQL Editor.
- MongoDB: Milliseconds are now displayed correctly in the Data Editor.
- MySQL/MariaDB: Fixed issue with ER diagram creation for tables with foreign keys.
- Yellowbrick: Fixed DDL for the stored procedures
- 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.
- Redshift: Materialized views are now displayed as system tables with a special icon.
- Salesforce: OAuth authentication was fixed.
- Salesforce Data Cloud: -- Salesforce Data Cloud was renamed to Salesforce Data 360. -- Fixed default schema detection issue. -- Resolved issues with autocomplete in the SQL Editor.
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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10
In Data Governance, Master Data Management, Data Analytics
Top
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In Data Security and Governance
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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
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.