
VTechFusion Team
VTechFusion Technologies
Snowflake rebranded two of its AI products — Snowflake Intelligence became CoWork, and Cortex Code became CoCo — alongside reporting $1.33 billion in product revenue for its most recent quarter, up 34% year over year.
Rebrands Usually Signal a Strategy Shift, Not Just Marketing
Renaming a product mid-lifecycle is rarely cosmetic — it usually means the vendor is repositioning what the product is FOR, not just what it's called. 'CoWork' and 'CoCo' both lean into a collaborative, agent-alongside-human framing rather than a tool-you-operate framing, consistent with the broader industry shift toward agents as the primary interaction model rather than dashboards and queries.
Where Snowflake and Databricks Are Converging
- Both platforms now treat agents as the primary compute unit, not just a feature bolted onto existing data warehouse/lakehouse products
- Both have adopted MCP (Model Context Protocol) as a shared protocol layer for agent-to-tool communication — a real, converging industry standard, not a vendor-specific approach
- Both are extending governance controls to cover AI systems specifically, with tighter controls on model access and spend — reflecting the same agent-governance-gap pressure showing up across the broader enterprise AI market
What the Revenue Number Actually Tells You
34% product revenue growth at Snowflake's scale is a genuinely strong number — it confirms real customer spend is following the AI product strategy, not just headline announcements. If you're evaluating Snowflake against alternatives, that growth rate is worth weighing alongside feature comparisons — it suggests a platform actively being invested in, not one coasting on its existing customer base.
Frequently Asked Questions
What did Snowflake rename its AI products to?
Snowflake Intelligence was rebranded to CoWork, and Cortex Code was rebranded to CoCo — both reflecting a shift toward a collaborative, agent-alongside-human product framing.
How is Snowflake's revenue growing?
Snowflake reported $1.33 billion in product revenue for its most recent quarter, up 34% year over year — a strong growth rate that suggests real customer spend is following its AI product strategy, not just marketing.
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