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    CloudBeaver AWS

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    Deployed on AWS
    Free Trial
    AWS Free Tier
    Universal database management tool

    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

    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 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.

    CloudBeaver AWS

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    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.

    Usage costs (10)

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    Dimension
    Cost/hour
    t3.large
    Recommended
    $1.50
    t2.micro
    AWS Free Tier
    $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

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    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) .

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    Usage information

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    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 25.1: Security:

    • Added the Force HTTPS mode setting in Server Configuration to enforce redirecting from HTTP to HTTPS. It helps avoid a potential man-in-the-middle attack. This setting is turned off by default. Please remember to configure the proxy before enabling.
    • Added the Bind session to IP setting in the Server configuration to improve session security by linking user sessions to their IP address. It is disabled by default for all domains except *.databases.team domains. When enabled, this helps protect against certain types of session hijacking attacks, where an attacker could try to take over a user session. Note: Users will be logged out automatically on the IP address change (switching networks or using mobile data).
    • Redesigned the brute force protection mechanism: repeated failed login attempts now temporarily block the connection. The policy remains configurable via the configuration file. Also, more database support was added for this feature: Oracle, SQL Server, MySQL, Db2, and others.
    • Added support for securely retrieving database credentials from the CyberArk secrets provider using API key authentication.

    Administration:

    • Added support for multiple server URLs to accommodate different access policies for internal and external users, improving flexibility in network-restricted environments. To set it up, use the Allowed Server URLs field in the Server configuration within the Administration section.
    • Introduced team-level permission management in the Users and Teams section. Administrators can now define granular permissions for editing, copying, importing/exporting data, and executing SQL scripts per team. Global defaults can be set on the Global Permissions tab in the same section.
    • The built-in server CLI now supports executing GraphQL operations, facilitating automation in CI/CD and headless environments. This enhancement enables administrative operations - such as user import, server configuration or connections creation.
    • Improved audit logging to capture key system events, including connection management, license changes, user interactions with cloud storage files, and SQL script operations. It can be enabled in the Administration settings > Logger. Logs are stored on the server. They are also available through API for integration with third-party log systems.
    • Added the ability to configure log retention period (in days) in Administration Settings > Logger.
    • Added the ability to import a license key in a headless mode through the configuration file.
    • Additional validation of the administrator password was added during the initial server configuration.

    AI Assistant

    • AI Chat was added to help users generate and fix queries and explore data more easily. It is integrated with the SQL Editor to run generated queries instantly. Access it from the Tools menu in the top toolbar. All AI features can be turned off in the Server configuration.
    • The Change scope option was added to the AI Chat to improve accuracy, especially in databases with large schemas. This feature allows users to limit the context to specific database objects.
    • The new Fix with AI button appears for errors in the Result Set. Click it to ask AI for help fixing the SQL error.
    • The Explain query in AI option is now available in the SQL Editor left toolbar. Use it to get AI insights and improve user queries.
    • Users will see the Describe Object with AI command in the context menu for schemas, tables, views, and other database objects in the Navigator view. The AI-generated explanations help quickly understand any object structure, purpose, and usage.
    • Copilot has been added to the list of supported AI engines.
    • Administrators can now adjust prompt context using the new Context window size setting in the Administration panel for OpenAI and Azure OpenAI engines.

    SQL Editor:

    • Changed the default engine used for autocompletion in the SQL Editor. This Semantic engine offers improved suggestions for database objects, keywords, and functions. You can switch back to the Legacy engine in Preferences > SQL Editor.
    • A Clear button was added to the output panel.

    Data Editor:

    • Column descriptions were added under column names in the Data Editor to provide more metadata context. You can disable this in Preferences > Data Viewer.
    • Added an ability to review the script before execution when users edit tables without primary keys.
    • Fixed an issue that prevented selecting all table data by clicking the top-left corner cell.

    General:

    • A new welcome screen was added when opening the application. It includes quick shortcuts to create a new connection, open SQL Editor, AI Chat, or documentation.
    • Introduced a search and replace panel in the SQL Editor and Value panel. Press Ctrl/Cmd + F to search using keywords or regular expressions.
    • Changed the data transfer mechanism to avoid intermediate file creation. The parameter dataExportFileSizeLimit was removed from the server configuration as deprecated.
    • CloudBeaver now defaults to the system theme (light or dark). Users can change it in Preferences > Theme.
    • Added the option to display tabs across multiple rows, allowing you to see all tabs without scrolling. You can enable this in Preferences > Interface.
    • Improved dark theme accessibility by enhancing color contrast across the app for better readability and compliance with accessibility standards.
    • The database navigator now automatically hides empty folders in shared projects, reducing clutter and making it easier to find active connections.

    Databases and drivers:

    • AWS RDS for MySQL and PostgreSQL: added the ability to connect via local host and port forwarding.
    • Azure Cosmos DB for NoSQL database support was added.
    • BigQuery: Added ML models presentation to Navigator and Metadata Editor.
    • Clickhouse: fixed the presentation of tuples and map data types in the Data Editor.
    • Clickhouse: driver has been updated to version 0.8.5.
    • CUBRID: added support for sharded database connections.
    • Databend database support has been added.
    • Db2: added support for authentication with Kerberos.
    • DuckDB: driver has been updated to version 1.3.
    • File drivers: administrators can now add additional Parquet libraries (like Snappy or Zstandard) to the Files Multi Source or Parquet drivers.
    • LibSQL: connection configuration issue was fixed.
    • MongoDB: restricted connections with enabled authentication when the auth mechanism is set to NONE.
    • MySQL: improved performance when retrieving foreign keys metadata.
    • PostgreSQL: fixed misplaced comment for table DDL generation.
    • TimechoDB/IoTDB database support was added.

    Additional details

    Usage instructions

    1. Run the selected EC2 instance with CloudBeaver.
    2. Open the link to your new EC2 instance in browser.
    3. Follow the simple steps to configure your CloudBeaver.
    4. Share the link with other team-members and start working.

    Resources

    Vendor resources

    Support

    Vendor 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.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Data Governance, Master Data Management, Data Analytics
    Top
    10
    In Data Security and Governance
    Top
    100
    In Source Control, Project Management

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    2 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    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

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

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    0 ratings
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    0 AWS reviews
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    145 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Jithin M.

    Great all-in-one SQL tool for everyday database work

    Reviewed on Aug 01, 2025
    Review provided by G2
    What do you like best about the product?
    DBeaver is super handy when working with multiple databases. It supports a wide range of DB types (like MySQL, PostgreSQL, Oracle, etc.), so I don’t need to switch tools. The UI is clean and beginner-friendly, and I really like features like the ER diagram viewer, query auto-complete, and data export options. It makes running and organizing queries much easier, especially when dealing with large datasets.
    What do you dislike about the product?
    It can feel a bit slow or heavy at times, especially when working with large tables or opening multiple tabs. Also, some advanced settings are buried and not very intuitive. The initial setup for some databases can be a bit tricky if you’re new. But overall, once it’s running, it works really well.
    What problems is the product solving and how is that benefiting you?
    DBeaver makes it easier to work with different databases in one place. I don’t have to switch between tools or remember complex commands—it lets me run queries, view tables, and export data quickly. It saves time and helps me avoid mistakes, especially when working with large or multiple datasets.
    Ljupcho T.

    DBeaver a robust and flexible tool

    Reviewed on Jun 09, 2025
    Review provided by G2
    What do you like best about the product?
    Connects to virtually any major database with JDBC drivers. Rich Feature Set: Includes ER diagrams, visual query builders, data editing, SQL editor with autocompletion, and export/import tools.Dbeaver can run on Windows, macOS, and Linux.
    The community edition offers a lot of functionality for free, with a paid version for advanced enterprise features.
    What do you dislike about the product?
    Can Be Resource heavy especially when working with large databases or multiple active connections. By default, DBeaver allows editing of query results in the result grid. While this is convenient for making quick changes, it can be risky when working with live PostgreSQL databases, as accidental edits can affect the actual data. It’s recommended to disable this or use it cautiously in production environments.
    What problems is the product solving and how is that benefiting you?
    multiple DB vendors require their own software to connect to the db engine, DBeaver enables to centralize and use it to connect to multiple databases MSSQL, Oracle, Postgres and MariaDB
    Sunil P.

    Dbeaver Great for User Experience to autofill and compare schemas

    Reviewed on Jan 11, 2025
    Review provided by G2
    What do you like best about the product?
    color of sql query is best to understand error and other things
    What do you dislike about the product?
    if something running longer then stop fully not happening as sometime its background running in RDS background job
    What problems is the product solving and how is that benefiting you?
    DBeaver is a database management tool that:

    Supports multiple databases

    Enhances SQL development with features like auto-completion

    Offers data visualization tools

    Facilitates data import/export

    Allows database comparison

    Manages database security

    It improves productivity and simplifies database tasks.
    Yasser N.

    Nice PostgreSQL Client

    Reviewed on Jan 08, 2025
    Review provided by G2
    What do you like best about the product?
    * User friendly interface
    * Easy to use
    * Anyone can set it up
    What do you dislike about the product?
    When opening multiple tabs it increases the open connection count
    Otherwise, everything looks great
    What problems is the product solving and how is that benefiting you?
    Allowed me access to a PostgreSQL Database which makes it easy for me to track my data
    Shailesh S.

    Comprehensive Database Management with DBeaver

    Reviewed on Jan 07, 2025
    Review provided by G2
    What do you like best about the product?
    I love DBeaver's support for multiple databases, intuitive interface, and the auto-save queries feature, which ensures no work is lost and makes it easy to pick up where I left off.
    What do you dislike about the product?
    The occasional performance lag when working with large datasets can be frustrating, and the initial setup for certain databases can be a bit complex.
    What problems is the product solving and how is that benefiting you?
    I use DBeaver for managing and querying multiple databases, creating views for seamless integration with Tableau, analyzing data, and performing routine database maintenance tasks efficiently.
    View all reviews