MemSQL features an in-memory row store and a disk-based column store in a single database, achieving extremely low latency execution while allowing for data growth
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
MemSQL is a very high-performance, in-memory database which joins the horizontal scalability of distributed systems with the familiarity of SQL. MemSQL enables businesses to analyze changing datasets by ingesting streams, processing transactions performing analytics simultaneously in a single database. With instant access to both real-time and historical data, MemSQL makes rapid decisions by picking out the freshest data and eliminates the unnecessary queries. In a single database, Mem SQL can process streams and analyze large chunks of data giving the power to study changing datasets.
MemSQL allows complete data growth by its inclusion of features like an in-memory row store and a disk-based column store in a single database, achieving extremely low latency execution. This versatility is based on these options: multiple data models, including SQL, Key-value, Document/JSON and Geospatial, online Schema changes and data retention etc. MemSQL even uses the MySQL wire protocol: it allows businesses to use familiar connectors as well as development tools. It has an elaborate security model which includes SSL encryption across MemSQL nodes and applications in a cluster and support for third party encryption and Role-Based Access Control (RBAC) for its distributed database platform. Something called the MemSQL Streamliner is integrated into this database management system which enables high-throughput, bidirectional data exchange between MemSQL and Spark. Furthermore, MemSQL Loader easily imports data from sources like HDFS or Amazon S3, making database management all the more exciting and wide with regards to its audience-approach. Configuration and management of a distributed system has never been easier because MemSQL Ops has the command center for provisioning and administering MemSQL clusters.