Sold by: DBeaver CorporationÂ
Deployed on AWS
Free Trial
AWS Free Tier
Database management tool for relational databases
Overview
EC2-instance for the CloudBeaver open-source version. CloudBeaver Community supports all main relational databases like: PostgreSQL, MySQL, Oracle, SQL Server, Firebird and other. It provides powerful SQL-editor and data editor for data management.
Highlights
- With CloudBeaver Community you can look through and edit data from SQL databases.
- For experienced users CloudBeaver Community suggests the advanced SQL-editor with syntax highlighting and auto-suggestion.
- Data export in different formats is available out-of-the box.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 20
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
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 14 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.
Dimension | Cost/hour |
|---|---|
t2.medium Recommended | $0.05 |
t2.micro AWS Free Tier | $0.05 |
t3.large | $0.05 |
t3.medium | $0.05 |
t2.large | $0.05 |
m5.large | $0.05 |
m4.large | $0.05 |
m5.xlarge | $0.05 |
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 25.1.0:
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.
- Added the Force HTTPS mode setting in Server Configuration to enforce redirecting from HTTP to HTTPS. This setting helps avoid a potential man-in-the-middle attack. This setting is turned off by default. Please remember to configure your proxy before enabling.
- Added the CLOUDBEAVER_BIND_SESSION_TO_IP option to improve session security by linking user sessions to their IP address. It is disabled by default. 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).
- A password confirmation field has been added for administrators in the Easy Config section to prevent accidental misconfigurations.
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 in the Data Editor under column names 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.
General:
- Added a new welcome screen for a freshly opened application. This screen contains shortcuts to create a new connection, open SQL Editor, or documentation.
- Added a search panel for SQL Editor and Value panel: press Ctrl/Cmd + F to open a panel that allows searching and replacing by keyword or regular expression.
- Changed the data transfer mechanism to avoid intermediate file creation. The parameter dataExportFileSizeLimit was removed from the server configuration as deprecated.
- The CloudBeaver default theme matches the device theme by default now. You can change this behavior in user preferences under the Theme section.
- 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 visual clutter and speeding up the process of finding active connections.
Databases and drivers:
- Clickhouse: fixed the presentation of tuples and map data types in the Data Editor.
- Databend database support has been added.
- DuckDB: driver has been updated to version 1.3.
- MySQL: Improved performance when retrieving foreign keys metadata.
- PostgreSQL: fixed misplaced comment for table DDL generation.
Additional details
Usage instructions
Usage Instructions: Run the selected EC2 instance with CloudBeaver. Open the link http://<EC2_Instance_Public_DNS>/ to open CloudBeaver configuration wizard in a web browser. Follow the simple steps to configure your CloudBeaver. Share the link with other team-members and start working.
Resources
Vendor resources
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.
Updated weekly
By DBeaver Corporation
By Datasparc
Top
10
In 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 relational database systems including PostgreSQL, MySQL, Oracle, SQL Server, and Firebird
SQL Editor Capabilities
Advanced SQL editor with syntax highlighting and auto-suggestion features
Data Management
Provides comprehensive data editing and viewing functionality for database contents
Data Export
Supports export of database data in multiple file formats
Platform Deployment
Configured for deployment on EC2 instances as an open-source database management tool
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
0 ratings
0 AWS reviews
|
144 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.
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.
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
* 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
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.