Reynold Xin

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331 appearances 1 recordings 1 series first heard Jun 2026 last heard 24 Jun

Reynold Xin’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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Latent Space: The AI Engineer Podcast · Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks · 24 Jun 2026 podcast

This is the holy grail of database engineering.

Why not build a single system that can do both of this?

But it ends up just being a lot of compromises.

I think one of the first issue is that, hey, each, let's say Postgres has a massive ecosystem, right?

You want to be using the tools that's built for Postgres.

And Spark, for example, had a massive ecosystem.

There's a lot of libraries you want to use.

If you were to create now a new thing,

You don't have an ecosystem.

You tend to create a new, smaller proprietary API, and you're lacking both.

And it's also very difficult to make it performance-wise to be sort of comparable on either side.

So it ends up being actually sucking up both.

And our whole idea of LTAP is kind of obviously a wordplay on the term HTAP, is that we think this is HTAP done right.

HTAP wants to build a single engine for both.

We think you can get 99% of what you need by unifying the storage.

and just have a single storage layer.

And once you have the single storage layer, if your Postgres databases are writing data in a column-oriented format, everything analytics can just go read that data directly without any delay.

There's no pipeline in between, so all the data will immediately be available for reasoning analytics.

I think I was telling some customers earlier, hey, when we talked about this is going to be super useful for agents, I actually at first didn't really believe in it myself, even though we wrote that positioning.

But then last night I was having dinner with an Australian customer and they actually told me, oh, hey, one of the big issues we have is we have all these logs from our services and we see SLA dips.

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