Sold by: DBeaver CorporationÂ
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
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.
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
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 25.0: Important:
- Added the ability to use HAProxy as a node balancer as an alternative to nginx.
- Connection templates were removed from the application. You can use the Connection Editor to create new connections.
- Switched the federated authorization status update mechanism to WebSocket. Authorization status changes are delivered in real time, eliminating redundant client-server exchange requests.
Administration:
- Added the ability to store Query Manager records in a file located in the workspace. You can configure it in the Preferences.
- Implemented a brute force protection policy for PostgreSQL and Redshift database connections. After repeated failed login attempts (default: 5), CloudBeaver users will be temporarily blocked. This policy is configurable via the configuration file, enhancing security against unauthorized access attempts.
- The Administration panel now has a status indicator for disabled users, which includes a clear explanation and the date the user was disabled.
- Log records now capture create, update, and delete actions for users, teams, providers, cloud storage files, and connections for improved tracking and transparency.
- Added the ability to search by usernames for user provisioning.
LDAP authorization:
- Added the ability to use LDAP user provisioning to simplify user management for a large number of users.
- Added support for secure LDAP authentication over SSL, enabling encrypted connections to directory services for safer and more compliant user authentication.
- Brute force protection is now supported for LDAP authentication. All authentication methods on the application level have this security mechanism now.
SQL Editor:
- A new setting to autosave scripts in the SQL editor appeared in global and users' preferences.
- Auto-completion has been improved for aliases and camelCase entities.
Data Editor:
- Improved table rendering to scale column width depending on the content.
- Accessibility: improved keyboard navigation by sorting buttons in column headers.
Navigation Tree:
- Added a new icon to the top of the Navigation Tree, allowing users to create simple connections more quickly and efficiently.
- Improved tree performance: lost connection does not lead to the application freezing anymore.
General:
- Added the ability to configure the default database or schema in the connection configuration.
- Enhanced initial configuration stage security: a server needs to be restarted if the initial setup time exceeds 1 hour.
- Data transfer: improved export/import functionality performance by optimizing disk memory consumption.
- Vietnamese localization has been added.
- French localization has been improved.
Databases and drivers: Azure SQL Server: the "CREATE VIEW" statement has been replaced with "CREATE OR ALTER VIEW" in the view DDL for Azure SQL Server v16 and higher. BigQuery: session mode setting has been added for connection configuration. Cassandra CosmosDB: added the ability to configure datacenter connection information. Clickhouse: driver has been updated to version 0.8.5. Dameng: added support for unique and check constraints. DuckDB: expanded the list of system objects that can be hidden in the Navigation tree. File drivers: you can now open and query XLS files using the XLSX or Multi-source drivers. Hive: added the ability to use authentication via JDBC URL. Kingbase and Teiid drivers support was added. LibSQL: added the ability to connect using token authentication. Oracle: users' DDL in Oracle is displayed in the metadata editor on the corresponding tab for users with Oracle administration permissions. SQLite: added information about a table's Strict mode to the table metadata section.
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
0 ratings
0 AWS reviews
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143 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.
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.
Paco V.
Productive cross-platform database tool
Reviewed on Dec 10, 2024
Review provided by G2
What do you like best about the product?
The best thing about dbeaver as a tool is how complete it is. Besides the fact that it is multiplatform. In my case I usually work on Linux, but sometimes I have to work on Windows. I can export my configurations and connections and have them updated on both platforms. On the other hand it has the ability to customize the results that is highly visual, besides allowing fast navigation between relational tables.
What do you dislike about the product?
Perhaps the design has become a bit outdated. It should start introducing AI in queries and results, as other tools are starting to do. This could provide a bonus.
What problems is the product solving and how is that benefiting you?
DBeaver allows you to manage multiple database connections from different vendors in a single tool. It also allows you to visualize the results in a customized way so that you can check the data you are looking for at a glance. It also allows me to perform CRUM easily.