Materialize careers

Materialize is deployed on top of streaming message queues like Kafka, and allows users to specify arbitrary SQL views on top of their queues and query those views instantly.

Stream processing software like Kafka has greatly improved the end-to-end latency of moving messages around in real time, but today there's no good solution for making use of that data easily. Materialize brings the user-facing simplicity of SQL views - for arbitrary SQL queries, not just some SQL-inspired minimal language like KSQL - to the streaming data ecosystem.

All of this is only possible because Materialize is built on top of Timely Dataflow and Differential Dataflow, award winning projects with strong theoretical foundations. Materialize's Chief Scientist and co-founder Frank McSherry built Timely Dataflow over years of research. Timely was inspired by an earlier Microsoft Research project (also led by Frank) called Naiad, which won several academic accolades including best paper at SOSP 2013.