[georgewfraser]

The thing I wonder about with Presto and to a lesser extent Spark is, how many of their users adopted this tool because it was an easy migration path from Hive, and how many of those users will eventually re-platform to something else?

[bitsondatadev]

I mean, the hive migration path is one thing. Now that Iceberg is taking over the old Hive model, data lakes are all the rage again.

The other thing I would say is that Trino and Presto are not one-trick ponies or just hive replacements. There's also the ability to query across multiple systems that is, to me, the feature that future proofs a lot of architectures. It inherently frees you up to fiddle with your data in different systems but keep the access to that system in one location.

[georgewfraser]

Yeah I think that is the key question: will data lakes become the dominant paradigm? There is certainly a lot of talk around them, though I see a ton of companies are still just going all in on a conventional data warehouse, but they tend not to talk about it because it’s not a new or interesting thing to do.

[bitsondatadev]

Yeah, though a lot of Fivetran customers are likely the type that would go all in on paying for a conventional data warehouse where people using open source stacks may be the ones that are using open ingestion alternatives.

We see a pretty even mix from the Trino/Starburst lens. Bigger companies like to mix and match.