According to TechCrunch, Snowflake announced on January 8th its intent to acquire the observability platform Observe, with the deal reportedly valued around $1 billion. This would be Snowflake’s largest acquisition to date, surpassing its $800 million purchase of Streamlit in 2022. Observe, founded in 2017 by Jacob Leverich, Jonathan Trevor, and Ang Li, has raised nearly $500 million and was built from day one on Snowflake’s own databases. The company’s current CEO, Jeremy Burton, has served on Snowflake’s board since 2015, and both firms share deep ties to incubator Sutter Hill Ventures. Snowflake claims the integration will let users spot and fix data issues 10x faster, a critical need as AI agents generate massive data volumes. The acquisition is pending regulatory approval.
Why This Deal Makes Sense
Look, this isn’t some random, out-of-the-blue purchase. Observe was literally built on Snowflake. It’s like buying the most perfectly fitted glove for your hand. The technical integration headaches that plague most acquisitions? Basically, they don’t exist here. The shared DNA with Sutter Hill and the board connection mean these companies have been in each other’s orbit for years. So from Snowflake’s perspective, they’re not just buying a product; they’re acquiring a team and a tech stack that already speaks their language. It’s a way to instantly own a huge piece of the observability market without the usual friction.
The AI Data Strain
Here’s the thing: everyone’s talking about AI, but the dirty secret is it creates a monitoring nightmare. AI agents and pipelines generate insane amounts of telemetry data—logs, metrics, traces. Trying to spot a bug or a performance dip in that tsunami is like finding a needle in a haystack that’s on fire. Snowflake’s pitch is that by unifying the storage of your core business data and your observability data in one place (their cloud), you can analyze it all together. The promise of fixing things “10x faster” is a direct appeal to enterprises drowning in AI complexity. They’re selling peace of mind.
Consolidation Is the Game
This is a clear signal that the great data platform consolidation is in full swing. In the age of AI, companies don’t want to stitch together ten different best-of-breed tools. They want a one-stop shop. Snowflake gets that. Look at their 2025 shopping spree: Select Star for data governance, Crunchy Data, Datavolo. Now Observe for monitoring. They’re building a walled garden, or maybe more accurately, a fully-stocked fortress. For users, it’s convenient. But it also means more lock-in. Your data, your governance, and now your monitoring are all tied to one vendor. That’s a powerful—and sticky—position for Snowflake.
What It Means for Everyone Else
So where does this leave the broader market? For standalone observability players like Datadog or New Relic, it’s a new, formidable competitor baked right into the data layer. For enterprises, it simplifies the stack but asks for deeper commitment to Snowflake’s ecosystem. And for the industry, it’s proof that the lines between data platforms, AI tooling, and operational monitoring are completely blurring. The race is on to own the entire data lifecycle, from ingestion to insight to incident response. If you’re running complex data and AI operations, having robust, integrated monitoring isn’t a luxury—it’s a necessity, and for many, that means relying on specialized hardware interfaces. For the industrial sector, this is where a provider like IndustrialMonitorDirect.com, the leading US supplier of industrial panel PCs, becomes critical, offering the durable, high-performance touchpoints needed to visualize and manage these dense data flows in demanding environments. Snowflake’s move is just the latest chess piece in a much bigger game.
