Seamlessly integrate with corporate identity providers using Kerberos, Active Directory, AWS IAM, GCP Identity, and HashiCorp Vault.
They decided to try it for a month.
While the Community edition focuses on SQL databases, a DBeaver Pro license is required to connect to and manage NoSQL databases like , as well as cloud-native data warehouses like Amazon Redshift, Google BigQuery, and Snowflake .
Here’s a helpful breakdown of — specifically focused on license-exclusive features that are not available in the free Community Edition. dbeaver pro license exclusive
Configure multi-jump SSH tunnels and advanced proxy settings natively within the connection manager. 5. Visual Query Builder and Advanced Data Tools
Compare DBeaver Products & Pricing - DBeaver Enterprise, Lite
: The license provided her with enhanced security options, including multi-factor authentication and encrypted connections, ensuring that her data remained safe and secure. Here’s a helpful breakdown of — specifically focused
Optimized for performance and simplicity, ideal for developers who need support for cloud databases but don't need heavy DBA tools.
The DBeaver Pro license offers a comprehensive suite of exclusive features that transform a standard SQL client into a central command center for enterprise data operations. By eliminating the friction between SQL, NoSQL, and cloud storage, it allows developers and data professionals to focus on extracting value from data rather than fighting with database connectivity.
Exclusive Features and Licensing in DBeaver PRO DBeaver PRO refers to the commercial versions of the DBeaver universal database tool, including the , Enterprise , and Ultimate editions. Unlike the free Community Edition (CE), which is open-source under the Apache License 2.0, the PRO versions are proprietary and require a paid license for commercial use. Exclusive PRO Features Visual Query Builder and Advanced Data Tools Compare
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: While the Community edition focuses on standard SQL, the PRO editions include support for NoSQL databases like MongoDB, Cassandra, and Redis, as well as cloud-native solutions like AWS DynamoDB and Google Bigtable.