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
Typical total price
$1.583/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
t2.micro AWS Free Tier | $0.20 | $0.012 | $0.212 |
t2.medium | $0.60 | $0.046 | $0.646 |
t2.large | $1.50 | $0.093 | $1.593 |
t3.medium | $0.60 | $0.042 | $0.642 |
t3.large Recommended | $1.50 | $0.083 | $1.583 |
m4.large | $1.50 | $0.10 | $1.60 |
m5.large | $1.50 | $0.096 | $1.596 |
m5.xlarge | $2.80 | $0.192 | $2.992 |
m5.2xlarge | $4.60 | $0.384 | $4.984 |
m5.4xlarge | $8.60 | $0.768 | $9.368 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Refund within 30 days
Legal
Vendor terms and conditions
Content disclaimer
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 24.2.0: General:
- Important: -- The connections Templates feature is declared obsolete and will be removed in future releases
- Data Export: -- Export in Parquet format was added -- Added the ability to export JSON values as embedded JSON
- Main: -- Keyboard navigation has been enhanced. You can use the arrow keys to move through navigator tree elements and the tab key to switch between editors' tabs -- Fixed script execution on the disconnected state. Now script execution will stop on disconnect -- Sample SQLite database was removed -- Chinese localization has been improved -- Brazilian Portuguese localization was enhanced
Administration:
- Users: -- Updated user storage mechanism: New user logins are now stored in lowercase to prevent duplicate entries (e.g., "ADMIN" and "admin"). Note: This update does not affect previously created user logins -- Added an ability to change a user password even if the user is disabled in a system
- Configuration: -- The Domain Manager has been removed for security reasons -- The option to store CloudBeaver workspace files in AWS S3 storage has been added. Previously, you could only store your workspace files on the server -- Local name/password authentication and reverse proxy header-based authentication have been added -- Added support for different global AWS regions: you can choose one global region for your product -- Asia Pacific (Malaysia) and Canada West (Calgary) were added to the AWS regions list
- Preferences: -- A new setting in Global Preferences was added to restrict data import for non-admin users -- A search option was added for preferences in the Administration part
- Authentication: -- AWS machine credentials can be used for Cloud Explorer and Cloud Storage -- The administrator can specify the JWT provider's role header and attribute, and the AWS role claim attribute -- A custom user group attribute can be specified for the OpenId provider during team creation to fetch a users' team membership -- Enabled customization of the name attribute to include user ID for the OpenId provider
- Main: -- Added detailed logging of GraphQL queries in the server logs, including all provided variables, for improved debugging and monitoring -- Refreshed design for the User and Teams, Driver Management, and Identity Providers tabs in the Administration panel -- Added the ability to terminate a selected session in the Session Manager -- The connection Info tab is now hidden for non-admin users
Query manager:
- Added the ability to automatically purge the Query Manager history after a certain period to control the size of the - Query Manager database
- The filters section was redesigned. Now, it is more compact and precise
- Schema and catalog filters have been added
Data Editor:
- Rows with focused cells are specially marked to make it easier to locate a position in large tables
- A new type of chart was added: the Line chart
- The ability to build charts based on float numbers was added
- The functionality to change sample count, row count or aggregate column functions has been added to charts
Databases: Altibase: Module Memory Usage and list of tables and indexes within a tablespace has been added in the Navigator tree BigQuery: Procedures handling suppor has been added to the SQL editor, including LOOPS, IFs, BEGIN END, and CASE CUBRID: Execution plan was enhanced - sargs, edge, and query parameters were added DuckDB: The issue with displaying BLOB data types has been resolved MySQL: CloudBeaver can now correctly display negative dates Oracle: highlighting of public schemas and synonyms in the SQL Editor was improved PostgreSQL, Greenplum, CockroachDB, EDB, Google AlloyDB: The URL mode now supports connecting to multiple databases PostgreSQL, H2, and SQL Server: Schemas were added to the SQL autocompletion Redshift: Session manager was significantly improved - data is now displayed correctly Teradata: Navigator now displays only the databases accessible to the user
Drivers: A new LibSQL/Turso driver was added DolphinDB and GBase 8s drivers were added Added CSV and XLSX drivers for working with files as databases. These drivers allow you to open files in the Data Editor and perform complex SQL queries DB2i driver has been updated to version 20.0.7 Apache Drill driver has been updated to version 1.21.2 CouchDB driver has been updated to version 0.2.4
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.
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Customer reviews
Productive cross-platform database tool
Super powerful front end of databse
Ease of DB management with Dbeaver
Retail Credit Decisioning with DBeaver
DBeaver is a powerful, feature-rich database tool that has become a favorite of mine.
Relational databases (MySQL, PostgreSQL, Oracle, SQL Server, etc.)
NoSQL databases (MongoDB, Cassandra, etc.)
Cloud databases (Amazon Redshift, Google BigQuery, etc.)
Allows seamless switching between different database systems
Comprehensive SQL editor with syntax highlighting and auto-completion
Visual query builder for complex SQL queries
Data viewer and editor with filtering and sorting capabilities
Schema comparison and synchronization tools
ERD (Entity Relationship Diagram) visualization
Database migration and backup utilities
Some advanced features are only available in the paid Enterprise edition
This can be limiting for users who need these features but can't justify the cost
While extensive, the documentation can be hard to navigate for specific issues
Community solutions may be required for some advanced use cases
Provides powerful SQL debugging capabilities, including step-through execution
Offers detailed execution plans and query profiling for performance analysis
Allows real-time monitoring of database sessions and locks
Supports easy examination of server logs and error messages
Development Workflow Inefficiencies:
Integrates seamlessly with version control systems for better code management
Offers a comprehensive SQL editor with syntax highlighting and auto-completion
Provides data compare and sync features for efficient testing and development
Operational Complexities:
Serves as a unified operational tool for various database management tasks
Enables easy backup and restore operations across different database types
Facilitates efficient schema and data migration between environments
Supports scheduled job management and monitoring