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
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
Barath
Centralized database access has improved security, governance, and collaboration across teams
Reviewed on Jan 05, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for CloudBeaver AWS is connecting to databases on AWS , and I typically use it to make it easy for our employees to connect to the database in the easiest manner.
What is most valuable?
The best features CloudBeaver AWS offers in my experience are its ability to provide secure, centralized access to all our AWS-hosted databases for our engineering and support teams. It allows team members to safely query and troubleshoot data without requiring direct database credentials or client configuration. I rely on CloudBeaver AWS for controlled access, auditability, and ease of collaboration, especially when multiple teams need read-only or limited write access across different environments. It is valuable for security, compliance, cost justification, and engineering productivity.
CloudBeaver AWS is a better tool for connecting to RDS databases. It is easy to set up and easy to use on any platform, such as EKS or even a Docker container. I can configure it and easily connect. There is no need to access the AWS cloud environment; I can directly access CloudBeaver AWS itself. This eases the load on the database connection.
In addition to the core functionality, I have found the role-based access control integration with AWS IAM to be particularly valuable, as it aligns well with our existing security model. Without configuring a separate IAM under the tool, I can merge CloudBeaver AWS with AWS IAM . Features such as session management, read-only access, and centralized connection management have helped us enforce governance while still enabling teams to work efficiently across environments.
CloudBeaver AWS has positively impacted our organization in terms of productivity and value addition by reducing the burden of connecting to the database. It has provided easy, centralized access to hosted databases, eliminating complex local setups. Security governance has also improved; role-based access control and IAM integration ensure that only authorized users can audit and query sensitive data.
What needs improvement?
While CloudBeaver AWS meets most of our needs, there are a few areas where it could be improved. Enhanced support for more advanced query visualization and analytics features would be useful for our data teams. Performance optimization for very large datasets could also help. More granular auditing and alerting features would strengthen the security perspective. In terms of security, I can improve more of the features of CloudBeaver AWS. I could bring in encryption functionality and also store the database credentials in the AWS Secret Manager to integrate it with more AWS services.
An additional area that could be improved is the user interface for managing multiple databases, including a more streamlined interface for managing multiple connections, better handling of long-running queries, and deeper integration with AWS services and other services to support larger teams with complex workflows. Instead of manually installing CloudBeaver AWS, I could directly attach it to the CI/CD pipeline. That would increase productivity. I could easily and directly connect the database endpoint to CloudBeaver AWS, which would be a more time-saving method, rather than manually going to the CloudBeaver AWS console and entering each database endpoint, username, password, and database name.
In addition, it would be valuable if I could combine the AWS SSM Manager with CloudBeaver AWS to connect easily using localhost. That would be beneficial for configuring a bastion host. Some environments, companies, or organizations prefer using a bastion host over a VPN, so for them, that would be a great addition.
For how long have I used the solution?
I have been using CloudBeaver AWS for six months.
What other advice do I have?
For teams considering CloudBeaver AWS, I recommend starting by clearly defining your access security requirements since role-based access and IAM integrations are key strengths of the platform. Take advantage of centralized connection management to reduce operational overhead and ensure consistency across environments. Also, invest some time in training the team on query management and session handling to get the most out of the interface. Overall, it is a great tool for securely enabling collaboration across multiple environments. Before diving deep into CloudBeaver AWS, it would be better to learn some concepts of the tool. I have given this product a rating of 8.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Gaurang A.
Feature-Rich, Versatile Database Client for Developers
Reviewed on Dec 24, 2025
Review provided by G2
What do you like best about the product?
DBeaver is a robust, open-source database client that offers excellent usability for developers and data engineers working with multiple databases. Its greatest asset is the extensive range of features it provides. The tool supports nearly all major databases, including MySQL, PostgreSQL, Oracle, SQL Server, and MongoDB, all within a single application. Setting it up is straightforward: installation is easy, establishing connections is fast, and the user interface remains consistent regardless of the database type. Backend developers who work with databases daily will find themselves using DBeaver frequently. Additionally, its free and cross-platform nature is a significant benefit.
What do you dislike about the product?
The interface often feels heavy and cluttered, particularly for newcomers, which affects the overall user experience and ease of use. When working with very large schemas or complex queries, performance can suffer. Additionally, certain advanced features, such as cloud integrations and enterprise-level security options, are only available in the paid edition. For those using the free version, customer support is primarily community-driven, which might not meet the requirements of enterprise users.
What problems is the product solving and how is that benefiting you?
DBeaver addresses the challenge of handling multiple database technologies by providing a unified tool. Rather than having to learn and install separate clients for each database, developers are able to connect to, query, and manage different databases all from a single interface. This approach minimizes context switching, saves valuable time, and enhances productivity throughout both development and debugging processes.
Information Technology and Services
All-in-One Database Tool with Powerful SQL Editor and Clean UI
Reviewed on Dec 19, 2025
Review provided by G2
What do you like best about the product?
My favorite part using DBeaver is that I can work with different databases using single tool. The SQL editor is quite powerful and is easy to use with features like auto-completion of queries which saves me a lot of time. The UI is also very neat and clearly understandable.
What do you dislike about the product?
The only thing that I dislike is how it tend to be slow down when working with very large datasets. There can be occasional UI lag sometimes depending on the database that we are connected to.
What problems is the product solving and how is that benefiting you?
DBeaver solves my problem of managing different databases using different tools by having a single interface to connect, query and manage data from multiple data sources. This reduces switching between different tools and improves my work efficiency. Overall it makes my work easy and well organized
Rishikesh G.
Effortless DB Operations, Smooth User Experience
Reviewed on Dec 16, 2025
Review provided by G2
What do you like best about the product?
I like the ease of use through DBeaver's UI. You don't have to write a single SQL query, as you can do everything through the tool's UI with just clicks. I also appreciate the speed of commits to the database and the refreshing of data. It makes filtering through thousands of records quick and efficient. The initial setup was very easy and straightforward.
What do you dislike about the product?
The UI flow can be smoother, sometimes it feels like using a tool from Windows XP.
What problems is the product solving and how is that benefiting you?
DBeaver helps me access the database and perform CRUD operations easily. I like the ease of use through the UI, not needing to write SQL queries, and the speed of commits, data refreshes, and filtering through records.
Mohd U.
Super Easy Database Management with DBeaver
Reviewed on Dec 09, 2025
Review provided by G2
What do you like best about the product?
I use DBeaver to manage Postgres databases, and I find it quite easy to use, especially for handling different database environments. It's super easy to use and convenient compared to other applications we have. It's also super quick to connect to different databases. The initial setup was very easy.
What do you dislike about the product?
I'm satisfied with DBeaver. Maybe it can come up with AI features to write better queries.
What problems is the product solving and how is that benefiting you?
DBeaver is easy to use, especially for handling different database environments, and it's convenient compared to other applications. It connects quickly to various databases, simplifying management tasks.