Databricks Overtakes Snowflake

Key Takeaways

• Databricks now leads Snowflake by $120M quarterly
• AI‑driven unstructured data fuels Databricks growth
• Databricks SQL revenue hit $1B in three years
• Snowflake launched AI suite, partnering with OpenAI
• Databricks projects $8.9B FY27 revenue

Summary

Databricks has overtaken Snowflake in quarterly revenue, now leading by $120 million after a $220 million gap two years ago. The shift is driven by AI’s demand for unstructured data, which Databricks processes directly from object storage without migration. Databricks SQL grew from $100 million to $1 billion in under three years, while AI‑focused products accelerate even faster. Snowflake is responding with its Intelligence suite and partnerships with OpenAI and Anthropic, but analysts project Databricks will reach $8.9 billion by FY27 versus Snowflake’s $5.7 billion.

Pulse Analysis

The emergence of generative AI has turned unstructured data from a liability into a strategic asset, fundamentally altering the data‑platform landscape. While Snowflake built its reputation on clean, structured tables and fast SQL queries, Databricks invested early in a lakehouse architecture that natively ingests images, logs, audio, and other raw formats. This architectural choice now enables enterprises to feed massive, messy datasets directly into large‑language models, eliminating costly ETL pipelines and unlocking new revenue streams.

Revenue trends underscore the market’s realignment. Databricks’ quarterly earnings have swung from a $220 million deficit to a $120 million advantage over Snowflake, with year‑over‑year growth accelerating from 50% to 65% as the company scales beyond a $5 billion revenue base. Its Databricks SQL product exploded from $100 million to $1 billion in under three years, while the newer Lakebase serverless database for AI agents is already outpacing traditional warehousing growth. Snowflake’s response—launching the Intelligence platform and securing $200 million in partnerships with OpenAI and Anthropic—shows the incumbent’s urgency but also highlights the difficulty of retrofitting a structured‑data‑first stack for AI workloads.

Looking ahead, analysts forecast Databricks to reach $8.9 billion by fiscal 2027, widening the gap with Snowflake’s projected $5.7 billion. Investors are likely to re‑evaluate exposure to pure data‑warehousing plays, favoring platforms that combine lakehouse flexibility with robust SQL capabilities. The competitive dynamics suggest that future M&A activity, pricing strategies, and ecosystem partnerships will revolve around AI readiness, data‑fabric integration, and the ability to monetize unstructured content at enterprise scale.