Ducklake is a really elegant solution to the data lake. Radically simple and completely open.
At Meta we are building Malloy into internal tooling (SQL shells, dashboarding tools, data applications, data pipeline orchestration). We're doing this in a way to make it easier for external tooling providers to do the same. If you want to integrate Malloy into your tooling, let us know.
We're working on an embed-able Data exploration against semantic models. You can see a first draft by clicking 'Explore' in VSCode. You can embed this component into your data applications.
@sperosck.bsky.social has completely rewritten the data rendering layer. You can easily build complex, related visualization. The rendering library is designed to be built into your data applications.
We've recently added support data engines for Motherduck, Snowflake, Presto, Trino and MySQL.
We're excited to see all the data folks on Bsky. Malloy (malloydata.dev) has made its way to Meta (team) and the Linux foundation (project). We've been really busy. Make sure to follow @carlineng.bsky.social and @sperosck.bsky.social for updates.
It turns out that hell actually has a timezone.
SQL is a long game, we are too :)
At Meta, we're reworking our APIs to allow much better integration. These APIs are contracts between systems. And soon, when the APIs are ready, I hope you will be hearing a lot more from us.
A lot here to process. You make a lot of great points. We're not done :). The team is cranking in a way we never could at Google. The focus of the team right now is integration. How do we get Malloy to function in right places (Query shells, pipelines, applications, interactive explore).
Twelve hours until I fall into the Zelda vortex. Wonder if my Elden Ring warrior training are going to make this too easy.
If you are bored this weekend, maybe watch my *awkward* talk on Malloy at Datacounci. It starts with limitations of SQL that you didn't think were possible to avoid and then shows how Malloy frees you from relational/dimensional tyranny.
