The Data Stack Show 46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize
Jul 28, 2021
56:12
Highlights from this week’s episode include:
- Introducing Arjun and how he fell in love with databases (2:51)
- Looking at what Materialize brings to the stack (5:28)
- Analytics starts with a human in the loop and comes into its own when analysts get themselves out and automate it (15:46)
- Using Materialize instead of the materialized view from another tool (18:44)
- Comparing Postgres and Materialize and looking at what's under the hood of Materialize (23:16)
- Making Materialize simple to use (32:33)
- Why Materialize doubled down on writing 100% in Rust (35:43)
- The best use case to start with (42:03)
- Lessons learned from making Materialize a cloud offering (44:22)
- Keeping databases to the cloud for low latency (48:31)
The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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