Arjun Narayan, CEO of Materialize, highlights Snowflake as a case study of how database tools win mainstream adoption by maintaining backwards compatibility with SQL.
“Snowflake is a fantastic example of, under the hood, they, you know, they have a very modern microservice architecture, but it's all sort of very neatly wrapped up with a bow on top, such that it looks like a SQL database, and that's much, much more attractive to folks who are, who already have, you know, Decades of SQL queries and analytics queries that, you know, fundamentally needs to be ported over and run in this cloud native fashion but without throwing it all out.”
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More from Arjun Narayan
AssertionNot checkable as stated
Narayan: Materialize provides 99.9% of batch database functionality
“And we really think materialize the product is the first database that gives you know, I don't want to say literally all the functionality, but to the morally speaking, you know, 99.9% of the functionality that you can write in a batch database.”
Arjun NarayanMar 15, 2021▶ 18:13Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
PredictionNot checkable as stated
Narayan: Streaming will remain niche until tooling matches batch systems
“Until streaming gets to the same level of tooling, and a large part of that tooling is dbt as existing batch systems you know, it will still remain a fairly niche technology.”
Arjun NarayanMar 15, 2021▶ 21:17Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
Insight
Narayan: Software requiring code rewrites in new languages is largely doomed
“Any pitch. I'm generally very skeptical where you can tell folks, you can have all these great new benefits of low latency or whatever it is, but you got to start all over from scratch, right? You have to throw everything out there and you're going to rebuild …”
Arjun NarayanMar 15, 2021▶ 7:37Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
AssertionSupported
Narayan: Timely Dataflow was first stream processor to match batch processing capabilities
“It was sort of the first, what I would describe as The very first stream processor that could do everything that batch processors could do.”
Arjun NarayanMar 15, 2021▶ 13:13Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
AssertionNot checkable as stated
Arjun Narayan: Streaming data processing has expanded beyond niche financial applications
“And what we've been seeing is that streaming has started to become over the, over several decades and particularly in the past few years, much, much more broadly applicable. Beyond those small niche use cases as more and more businesses and use users benefit f…”
Arjun NarayanMar 15, 2021▶ 1:24Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
Insight
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“It has been to, in my opinion, a key enabler of microservices. I think it's pretty difficult to build and operate a decentralized set of microservices without first adopting something like Kafka in your organization to just move the data between all of these v…”
Arjun NarayanMar 15, 2021▶ 4:25Fireside Chat: Arjun Narayan (Founder & CEO, Materialize) with Matt Turck (Partner, FirstMark)
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