MariaDB Enterprise can be deployed as a columnar database for real-time analytics at scale, using distributed data and massively parallel processing (MPP) to perform interactive, ad hoc queries on hundreds of billions of rows with standard SQL. Further, MariaDB Enterprise implements a cloud-native storage architecture, and can optionally use object storage services in public or private clouds to lower costs and store an unlimited amount of data.
Just add the MariaDB ColumnStore plugin to one or more MariaDB Enterprise Server instances and run the post install/configuration scripts.
Store columnar data on any object storage service compatible with the Amazon S3 API for scalable, real-time analytics at a lower cost.
Query data faster than ever with up to 2x faster joins and 50x faster sorting thanks to a new hash join algorithm and ORDER BY pushdown.
Business today is undeniably data-centric. Near-real-time insights from MariaDB’s efficient, flexible and infinitely scalable analytics give you a competitive advantage.
The only open source database with Oracle Database compatibility (i.e., PL/SQL), temporal tables and transparent data encryption.
A storage engine optimized for analytical workloads – the data is distributed for scalability and stored by column for performance.
The world’s most advanced database proxy: intelligent routing, automatic failover and a powerful database firewall.
A streaming data adapter for automatically and continuously consuming Apache Kafka messages and writing them directly to storage.
A bulk data adapter for publishing machine learning results from Apache Spark for ad hoc, interactive analysis with standard SQL.
C, Java and Python import connectors for bypassing SQL to import data directly from remote applications, services and scripts.
Enterprise subscriptions include world-class, 24×7 technical support. If that’s not enough, Enterprise customers can add consulting services to get proactive recommendations and advice based on decades of experience. Further, a dedicated team of remote DBAs, enterprise architects and migration managers is available to ensure customers succeed – whether it’s migrating from a legacy data warehouse or integrating with Apache Spark, Apache Kafka and Apache Hadoop.