How MariaDB unlocks scalable, real-time analytics with columnar storage

The default storage engine in MariaDB, like in most relational databases, uses row storage optimized for transaction processing. However, row storage cannot keep up with the growing scalability and performance requirements of interactive, ad hoc analytics. To support real-time analytics on billions of rows and terabytes of data, MariaDB Platform includes MariaDB ColumnStore, a columnar storage engine that uses distributed data and massively parallel processing (MPP) to scale out analytical workloads. In this webinar, we’ll explain how MariaDB Platform can be used as a distributed, columnar database and look at the architecture. In addition, we’ll discuss practical use cases and real-world success stories – and give a live demo using a sample application.. Watch this webinar to:

Get an introduction to columnar storage in MariaDB Platform

Learn how it is being used in the real world for modern analytics

See a demo visualizing real-time, ad hoc queries on a large data set