Summary Streaming SQL is about taking the same declarative SQL used to write database queries, and instead running it on streams of fast-changing data. This is useful because: Data is often more valuable when you can act on it quickly The existing tools for deriving real-time insights from streams are too complex. The “declarative” nature […]
This post is co-authored by George Fraser, the CEO of Fivetran, and Arjun Narayan, the CEO of Materialize. This blog post is cross-posted on the Fivetran blog. It’s important to understand the uses and abuses of streaming infrastructure. Apache Kafka is a message broker that has rapidly grown in popularity in the last few years. […]
At Materialize we traffic in computation over data that change. As a consequence, it is important to have a way to write down and read back changes to data. An unambiguous, robust, and performant way to write down and read back changes to data. What makes this challenging? Why not just write out a log […]