MariaDB Platform Components

Scale out with distributed SQL using fully distributed tables and queries to increase throughput and/or storage capacity.

Collect detailed connection information and create granular audit rules and templates using JSON documents stored in system tables.

Take backups on large databases without blocking writes and interrupting applications, or blocking important schema changes.

Deploy secure multi-master clusters with encrypted transaction buffers and default configurations optimized for production.

Consolidate data access by using MariaDB Platform to access tables in other databases using standard ODBC connections.

Manage encryption keys outside of the database for maximum security and easier, more sophisticated key management.

Intelligent query routing and adaptive load balancing simplify application development and improve query performance.

Automatic failover with transaction replay ensures applications are not interrupted, or even aware of, an infrastructure failure.

Redis can be used to cache query results to improve performance while Kafka can be used to publish data changes to external systems.

The database firewall, dynamic data masking and query throttling features protect databases from attacks and prevent data breaches.

Analyze billions of rows and hundreds of terabytes of data with standard SQL, including joins with other tables (row or columnar).

Use Kafka and Spark connectors to ingest streaming data and publish machine learning results for interactive, ad hoc analysis.

CLI import tools as well as C, Java and Python connectors bypass the SQL layer to load data directly to storage from anywhere.