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
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 24.1.0: General:
- Session Manager was added for different databases: you can easily track your current sessions in a database.
- Auto-resize and the ability to hide columns were added to the columns configuration for Query Manager.
- Added the ability to close editor tabs with the middle mouse button.
- Added right-click support to open the context menu in the Metadata Editor. The list of forbidden characters for naming and renaming resource manager files has been updated to include the additional characters.
- The ability to filter catalogs and schemas on the root level was added to the Navigator Tree.
- Data types and other navigator tree icons were redesigned.
- French language support was added.
Authentication:
- Improved LDAP authentication: added the ability to filter users via service account parameters and the ability to specify custom unique user identifiers.
- The ability to specify more additional headers was added for JWT.
- Added the Session token field to AWS temporary credentials.
- Supported AWS GovCloud regions in the Cloud Explorer.
- The ability to connect via URL was added for AlloyDB, MySQL, MariaDB, Redshift, and Fujitsu.
Data Editor:
- Added additional notifications about the restricted operations.
- Enhanced IPv6 and DateTime32 data representation for Clickhouse.
- Data editing was fixed for DuckDB.
- Filters and ordering were improved for Neo4j.
SQL Editor:
- SQL Editor auto-completion was enhanced to get column, table, and function names faster.
- Added new AI models: gpt-4o, gpt-4-turbo, gpt-4o-mini.
- Removed deprecated AI model: gpt-3.5-turbo-16K.
- Fixed the dollar-quoted string parsing in the SQL Editor for PostgreSQL.
- Changed the save script icon to a floppy disk for better recognition.
- Improved display of the long error messages in the SQL Editor and Log viewer.
- Improved application behavior when closing a connection - open editors won't be closed on disconnect.
Administration:
- Redesigned administration navigation panel - now it is more compact and clear.
- Added the ability to change the default commit mode for each connection separately.
Domain Manager:
- Now administrators have an easy way to create a server domain for the application in the Easy config or Administration part.
- Added the ability to configure a custom domain and custom SSL certificate.
- Added the ability to delete existing product domains.
Security:
- Credentials encryption was enhanced.
- All major CVEs in third-party libraries were resolved.
Databases:
- Added Huawei GaussDB driver
- Added the Keep alive setting for Db2 LUW and IMB i, Apache Kyuubi, Clickhouse, Firebird, and Trino.
- DDL generation for Oracle Tablespaces was added.
- Connection stability was significantly improved for Redshift.
- Altibase now supports non-schema objects like Job, Database Link, Directory, Library, and Server properties.
- MongoDB/DocumentDB JavaScript code support was improved.
- Legacy Couchbase driver was removed.
- DDL display for a view was added together with the ability to display the list of table partitions, indexes, synonyms, serials, triggers, and procedures for CUBRID.
- Tables and views DDL generation was enhanced for Ocient.
- Keys connection settings were fixed for Redis.
- Stored procedures handling in SQL Editor was fixed for Vertica.
- BigQuery: -- The result details panel was added to the Data Editor for BigQuery: now you can see statistics about the bytes billed, total bytes processed, etc. -- Legacy SQL dialect was supported: you can choose it on the connection page. -- The connection page was redesigned: redundant fields were removed. -- Routines presentation was enhanced.
Driver updates:
- Apache Arrow driver to version 16.1.0
- Apache Drill driver to version 1.21.2
- Cassandra driver to version 4.18
- ClickHouse driver to version 0.6.1
- Firebird driver to version 5.0.4
- Hana driver to version 2.20.17
- H2 Server driver to version 2.1.214
- Informix driver to version 4.50.10.1
- Redshift driver to version 2.1.0.29
- SQL Server driver to version 12.8.0
- YugabyteCQL driver to version 4.15
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
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
Powerful Database Management Tool
DBeaver
We use it mainly to connect to mySQL and postgresDB
Great tool for managing Databases
Dbeaver is the best Database UI tool for any kind of DB server
- Auto suggestions of SQL commands
- Ease of use
- All types of DB servers can be connected to Dbeaver
- Help and support has better answers than other DB tools
- Redshift can be connected through DBeaver
- Using it daily
- Easy to download/implement and make connections
- Notifying users automatically in case of new version updates