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
Typical total price
$0.096/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 | $0.05 | $0.012 | $0.062 |
t2.medium Recommended | $0.05 | $0.046 | $0.096 |
t2.large | $0.05 | $0.093 | $0.143 |
t3.medium | $0.05 | $0.042 | $0.092 |
t3.large | $0.05 | $0.083 | $0.133 |
m4.large | $0.05 | $0.10 | $0.15 |
m5.large | $0.05 | $0.096 | $0.146 |
m5.xlarge | $0.05 | $0.192 | $0.242 |
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:
- The connections Templates feature is declared obsolete and will be removed in future releases
- Data export: Added the ability to export JSON values as embedded JSON
- Fixed a proxy issue that excluded the Content-Type header in responses
- Data editor enhancements: Rows with focused cells are specially marked to make it easier to locate a position in large tables
- Keyboard navigation has been enhanced. You can now use the arrow keys to move through navigator tree elements and the tab key to switch between editors' tabs
- Sample SQLite database was removed
- Chinese localization has been improved (thanks to @cashlifei)
- Brazilian Portuguese localization was enhanced (thanks to @brlarini)
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 -- Refreshed design for the User and Teams tab in the Administration panel
- 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
- Other: -- Added detailed logging of GraphQL queries in the server logs, including all provided variables, for improved debugging and monitoring -- Environment variables configuration has been improved - now you can configure more variables on the initial stage of the Docker setup
Databases:
- PostgreSQL, Greenplum, CockroachDB: The URL mode now supports connecting to multiple databases
- PostgreSQL, H2, and SQL Server: Schemas were added to the SQL autocompletion
- MySQL: CloudBeaver can now correctly display negative dates
- DuckDB: The issue with displaying BLOB data types has been resolved
Drivers:
- A new LibSQL/Turso driver was added
- SQL Server driver has been updated to version 12.8.0
- DB2i driver has been updated to version 20.0.7
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.
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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