data warehouse - Martech Therapy

How Snowflake recruited Zeotap's composable CDP

Zeotap's composable CDP now runs inside Snowflake as a Native App. Snowflake recruited it, the way Databricks built CustomerLake.

Zeotap's composable CDP is live on the Snowflake Marketplace, running inside your own Snowflake account as a Native App. That is the announcement, and it is the boring half.

The half I care about came from Jonaten Kraus at Snowflake, who spent about six months on this before it shipped and then wrote up what really happened on LinkedIn. His framing is the whole thing. Snowflake wasn't deciding whether to approve another marketplace app. It was deciding whether to treat Zeotap as a partner instead of a customer.

Snowflake picked a category vendor and pulled it deeper into

From particle physics to privacy-first analytics

Mitzu's István Mészáros explains why the future of Martech runs on composable data

From CERN’s particle accelerators to the messy world of marketing data, István Mészáros has seen it all. In this episode of Couch Confidentials, we trace his path from working on the Large Hadron Collider to building Mitzu, a startup rethinking how companies approach composable analytics.

We talk about why centralizing KPIs matters more than shiny dashboards, how enterprise data culture often lags behind the technology, and why privacy is becoming as big a driver as scale.

I loved how István described the “people-pleaser” instinct that shaped his career, always chasing faster answers for colleagues, which eventually grew into

If the warehouse can think, what’s left for the CDP?

A critical reflection on Databricks, data gravity, and what comes next.

Nope, this isn’t an analysis of a press release. We’ve seen all Databricks partners do that generously all over LinkedIn. It’s a reflection, a personal one (I had some spare time over the weekend), on something that’s been building quietly in the background and what it means now that someone has taken a concrete step forward. That someone is Databricks.

Last week, Databricks launched something called Data Intelligence for Marketing. And sure, you could skim the headline and file it under “AI feature drop.” But that’s not what caught my attention.

What stood out was

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