Databricks Overtakes Snowflake in Revenue
Databricks' quarterly revenues have surpassed Snowflake's for the first time, hitting $1.35B on 65% YoY growth versus Snowflake's $1.28B at 30% growth. The shift highlights the market's increasing focus on unstructured data processing, a core strength for Databricks driven by the generative AI boom.
The revenue crossover reflects a deeper architectural divergence. Databricks, rooted in the open-source Apache Spark project, built its "lakehouse" architecture to handle both structured and unstructured data, which now constitutes 80-90% of enterprise data. Snowflake, which pioneered the separation of compute and storage for data warehousing, is now expanding its AI capabilities to bridge the gap. Databricks' growth has been accelerating, with projections for 2026 reaching approximately $8.9 billion compared to Snowflake's guidance of around $5.7 billion. This trajectory is fueled by a net retention rate exceeding 140%, indicating existing customers are significantly increasing their spending year-over-year. Snowflake's net revenue retention rate was recently reported at 125%. The battle for AI workloads is intensifying. Databricks reports an AI products revenue run-rate of over $1.4 billion, a significant lead over Snowflake's estimated $100 million. Snowflake's new CEO, Sridhar Ramaswamy, has made AI central to the company's strategy, aiming to make AI an accelerant for all platform activities through its Cortex AI and Snowflake Intelligence offerings. Both companies are leveraging acquisitions to bolster their AI and data governance capabilities. Databricks notably acquired Tabular, the creators of Apache Iceberg, in a deal reportedly worth over $1 billion, after a bidding war with Snowflake. Snowflake has countered with acquisitions like Neeva, an AI search startup co-founded by its current CEO, and Crunchy Data to enhance its platform. The competition extends to open-source strategy. Databricks has a strong foundation in open source with Spark and has continued to open-source key components like its Unity Catalog. Snowflake has also moved to embrace open formats, open-sourcing its Polaris catalog for Apache Iceberg, signaling a broader industry shift away from proprietary storage. From a financial standpoint, Databricks remains private but has achieved a valuation of $134 billion after its latest funding round. Snowflake's market capitalization has fluctuated, standing at around $43.6 billion as of mid-June 2024. Databricks CEO Ali Ghodsi has indicated a potential IPO in 2025 or 2026. Looking ahead, the focus is on which platform can become the central "control plane" for enterprise AI. Databricks is betting on its unified lakehouse architecture, while Snowflake is leveraging its strength in data warehousing and governance to build a comprehensive AI Data Cloud. The ability to effectively manage and derive insights from massive, diverse datasets will be the determining factor.
