Why Snowflake's $6B AWS Commitment and Natoma Acquisition Matters for Streaming

Streaming advertising runs on data. Every targeting decision, every audience match, every frequency cap traces back to a data warehouse — and Snowflake is the data warehouse most enterprise media operations run on. When Snowflake moves, the ad stack moves with it.

Yesterday, Snowflake moved.

The company posted $1.33 billion in product revenue, up 34% year-over-year. Snowflake CEO Sridhar Ramaswamy framed the AWS deal in terms of scale:

"We're deepening our strategic partnerships — we announced an expanded $6B agreement with Amazon Web Services to further accelerate enterprise AI adoption at scale."

Both are significant. Neither is the story for media buyers.

But the story is Natoma

The same day, Snowflake announced its intent to acquire the startup to solve the problem that has kept agentic ad buying in pilot mode: governance. Natoma lets AI agents access enterprise data — audience segments, inventory sources, campaign parameters — and act on it across platforms without a human approving each step. Clean data in. Governed action out.

Today, a streaming media buy touches multiple systems. Audience data lives in one place. Inventory lives in another. The buy executes in a third. Every handoff is a place the workflow slows down or breaks. Agentic buying collapses those handoffs. Natoma is what makes it safe to do so at scale.

Agents need infrastructure

The $6 billion AWS commitment is the compute floor the whole system runs on. Amazon just became that infrastructure — for Snowflake, and for every streaming ad workflow built on top of it.

The agentic ad stack is no longer a roadmap item. It just got its data engine.

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