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
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
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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 24.3.0: Administration: -The server configuration services have been updated with a new "Secret Management" feature, which is available after enabling the "Enable Secret Management" option in the Server Configuration part. This feature allows using secret providers for credentials management. It now works with AWS Secret Manager and HashiCorp Vault systems. The administrator can configure secret providers in the Secret Management tab. Also, these settings can be specified in the connection editor by all users with the necessary permissions to edit connections;
- Added system information data to the Product Information tab in the Administration panel. This gives administrators quick access to essential system details, such as the server deployment type (e.g., Docker, Kubernetes), install path, Java version, parameters, Query manager and Security manager databases location, and product version;
- The global access server URL has been added to the console log, making it easier to locate server installation information directly within the logs;
Driver Management:
- Introduced an ability to add and configure any new or custom database drivers through the administration interface. The corresponding libraries for the selected driver will be downloaded from the Maven repository. Drivers without required connection libraries are marked as "Not Installed" and will be visible only to administrators. The "Allow drivers downloading" option can be activated in the Server Configuration;
- The Driver Management section now includes expandable folders displaying driver library folders. Now you can check driver library versions directly in UI;
Configuration:
- The Domain Manager's ability to generate certificates automatically is available again. To activate it, add the AgreementID info to the AWS Settings page;
- The product now supports importing certificates from a predefined folder at startup, making it easier to establish secure connections for databases protected by self-signed certificates, especially in environments with firewalls or security policies;
- New environment variables were introduced for theme styling, SQL editor, and log viewer settings. You can use them for quick setup during the initial Docker configuration stage.
Deployment:
- CloudBeaver now uses JDK 21 as its base Java image. If you use standard deployment and upgrade scripts, the new Java version will be applied automatically after the product update.
- Changed the permission of the Docker volumes directory to enhance security and prevent any insecure actions by the "root" user. All new deployments will use the "dbeaver" user by default. For existing deployments running as the "root" user, this update will automatically adjust file permissions to ensure they are compatible with the new security model. There will be no manual intervention, and the service will continue to run as expected with the updated permissions.
LDAP authorization:
- Added the ability to match users from LDAP configuration with CloudBeaver users;
- Added an option to specify a user login as an attribute parameter for LDAP providers;
- CloudBeaver now uses EntityID or objectGUID to create new LDAP users in CloudBeaver to ensure uniqueness. This change enhances user identification and prevents conflicts while maintaining backward compatibility for existing users.
Connections:
- Enabled the possibility of switching a database connection to read-only mode. This mode can be activated in the connection dialog. Administrators can set this mode for any connection, while regular users can set it for their private connections only.
- For Oracle and SQL Server connections, advanced database settings can now be used in the URL connection mode.
Data Editor:
- Auto-suggestions for column names in the Data Editor filter field were introduced to avoid typing mistakes.
- Introduced the ability to insert data in tables without unique keys: you can import data from CSV, XLSX, and XML files or insert entire rows directly via UI.
- The collapse of the grouping panel doesn't lead to the complete panel cleaning anymore.
- Chart settings will now be retained even after switching between tabs, ensuring that your configuration is preserved.
SQL Editor:
- AI assistant in SQL editor was improved: configure the AI engine, write "@ai" in the SQL Editor, and describe what you need in natural language - AI will instantly generate a ready-to-use query;
- Added Ctrl + Shift + S (Cmd + Shift + S on Mac) shortcut for the "Save As Script" action.
Data transfer:
- Added the ability to use default spreadsheet names (e.g. Sheet0, Sheet1) for exporting to XLSX.
- An option to replace line break characters on any custom value was added when exporting to CSV.
Navigator tree:
- An option to show metadata object comments was added. You can enable it in the database navigator settings panel.
- Introduced the ability to create connections not only on the initial level but in folders and sub-folders directly.
- Fixed the display of objects with long names (more than 32 characters) - now, such names will be displayed entirely and not in a cropped format.
General:
- Added transaction log viewing for connections with manual commit mode. This allows users to see all modifying statements before committing.
- You can now directly open CSV, XLSX, JSON, XML, and Parquet files from Cloud Storage and view their contents in a table format within the Data Editor.
- Added an ability for all editors to reconnect if a connection has been lost.
- Tooltips for metadata objects and SQL Editor tabs now include additional details about catalogs, schemas, and connections.
- A redirection feature has been added to the Query Manager, allowing users to seamlessly navigate to a specific user's details.
- Updated list of available shortcuts for macOS.
Databases:
- Apache Cassandra: Fixed autocompletion for materialized views;
- Azure Databricks: Information_schema was added to the Navigator Tree;
- CUBRID: Added REUSE_OID, COLLATE, and COMMENT information to the table DDL;
- Microsoft SQL Server: Primary Key ordering in DDL generation is now respected;
- PostgreSQL: Added default privileges grantor info to new users DDL;
- Salesforce: Added the ability to select data from multiple tables;
- Salesforce Data Cloud: Removed the ability to edit database metadata;
- Snowflake: Added support for table aliases in autocompletion in the SQL Editor;
- Teradata: Added an option to show all databases in the Navigator Tree. You can find this option on the connection page;
Drivers:
- Added new drivers for working with files as databases. These drivers allow you to open files in the Data Editor, execute complex SQL queries, and work with files from the Cloud Storage (AWS, Google Cloud, Azure). Currently, the drivers operate in read-only mode: -- Parquet -- XML driver -- JSON driver -- Multi-source driver - allows you to combine files of different formats into a single database and join data from multiple files using a single SQL query.
- Many new drivers are now available for administrators to download in the Driver Management section. Like Databend, Cloudberry, Ocient, Apache Phoenix and others; Some oversized or vulnerable drivers were removed from the image: Apache Arrow, Apache Calcite, Apache Drill, Apache Hive, Dremio, MySQL, Neptune, Neo4j, and TDengine. Now, these drivers can be downloaded from the Maven repository in the Driver Management Administration section.
- Now, there are two Redshift drivers: the default Redshift, which is stable and offers better performance, and Redshift Serverless, which can be used to connect to the serverless database.
- The Google BigQuery driver has been updated to version 1.5.4.1008
- The MariaDB driver has been updated to version 3.5.1.
- The Snowflake driver has been updated to version 3.22.0.
- The Databricks driver has been updated to version 2.7.1
- The Salesforce Data Cloud driver has been updated to version 0.20.0;
- The SQLite driver has been updated to version 3.48.0.0.
- The Teradata driver has been updated to version 20.00.00.38.
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 Great for User Experience to autofill and compare schemas
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.
Nice PostgreSQL Client
* Easy to use
* Anyone can set it up
Otherwise, everything looks great