Hello again, listeners. Today I have yet another special return episode for you. I'm speaking with Arjun Narayan, co-founder and CEO of Materialize. He told us the creation story of the product and company in season four, episode 11, which I would encourage you to go back and listen to. Similar to yesterday's episode, Arjun is returning to the podcast since his prior appearance

to give me major updates on the company and the product.

As a reminder, Materialize is a fast distributed SQL database based on streaming internals,

which allows you to have data consistency, scalability, and low latency.

You can learn more about the product at Materialize.com.

That's M-A-T-E-R-I-A-L-I-Z-E.com.

Well, I have a very special return guest today. Arjun, from Materialize, he's rejoining us today to give

us an update on the company, on the product, and all things that have been happening since we last

spoke. Arjun, thank you for being on the show today. Thank you very much for having me a second time.

Absolutely. But before we jump into what has happened with Materialize as a refresher, tell the audience.

What is Materialized? Give me the elevator pitch of what the product is.

So Materialize is a cloud-native streaming database.

So it's a database that's purpose-built for fast-changing data.

Most databases that you may be familiar with tend to assume that your data set changes relatively slowly.

If it's a data warehouse for large-scale analytics tasks, for instance,

or it's a database that's optimized for transactional systems

such that they do very little changes to the data at any given point in time.

As a consequence, building real-time applications today

requires using these

stream processors that are more laborious and cumbersome to use. Materialize gives you all the

simplicity of using a database that's as easy to use as, say, a Postgres or a database that you're

familiar with, but all the power of working on top of fast-moving, high-volume real-time data.

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