Another way to think about MemSQL is that it's an operational database. This means that it can support high velocity transactions and power apps. The fact it ca

Another way to think about MemSQL is that it's an operational database. This means that it can support high velocity transactions and power apps. The fact it can run decision support (OLAP) benchmarks is an important differentiation. Since those benchmarks are SQL benchmarks you can think of it as simple as "it's just great in SQL". Or you can think about it as "if my app has reporting as part of the workloads MemSQL will handle it out of the box". Finally there are many use cases that fall in the category of "Operational Analytics": time series, IoT, real-time dashboarding, moving from batch to streaming, predictive maintenance. All of those require underlying infrastructure to handle transactions and complex SQL in one system.