Executive Summary
Generated July 30, 2026
Enterprise Software
Snowflake
Strategic importance is our editorial rating of how central this entity is to the technology landscape we track; confidence reflects how well-sourced and current the underlying evidence is.
0
Chokepoint Score
no direct dependencies recorded in the graph
Accelerating
Activity
2 recorded changes in the last 90 days
Steady
Momentum
insider filing activity unchanged since last check
Headquarters
Bozeman, Montana, USA
Website
Employees
7,600 (FY2025)
Founded
2012
Listing
SNOW · NYSE
Market Cap
$93.71B
Revenue (TTM)
$5.03B
Price
USD270.36 (-0.50%)
Market data as of Jul 29, 2026, 11:25 AM · Source: Yahoo Finance (delayed). Not investment advice.
Overview
Snowflake operates a cloud-based data platform used by enterprises for data warehousing, analytics, and increasingly for building AI applications on top of their data. Snowflake reported Q4 FY2026 revenue of $1.28 billion (30% year-over-year growth) with over 9,100 accounts using its Cortex AI product suite, guided to $5.66 billion in FY2027 product revenue (27% growth), and saw shares surge 36% in a single trading day in late May 2026 — its best day ever — as Cortex AI adoption accelerated.
Strategic Connections
- Microsoft Azure: Snowflake's data cloud runs on top of major cloud infrastructure providers including Azure.
- OpenAI: Snowflake struck a $200 million multi-year deal with OpenAI to bring its models into Cortex AI, a larger contract than Databricks' competing $100 million OpenAI deal.
- Databricks: Snowflake competes directly with Databricks in the enterprise data and AI platform market.
- MongoDB: Snowflake competes with MongoDB and other data-platform vendors as enterprises consolidate on a unified data layer to power AI agent and application development.
- Pinecone: Snowflake's native vector-search capabilities compete with Pinecone's dedicated vector database, and Snowflake is seen as a possible acquirer amid Pinecone's 2026 strategic review.
Strategic Risks
- Intense competition from cloud-native and hyperscaler data platforms
- Consumption-based pricing model sensitivity to customer usage
Future Outlook
- Expansion of AI and machine learning features (Cortex)
- Continued enterprise data platform consolidation
Sources
3 sources, 87% average source confidence — full citations in the Full Analyst Report.
Generated by InsightNodes — Technology Intelligence Platform. This report reflects sourced, evidence-backed information as of the dates cited above and is not investment advice.
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