Hex vs Databricks
Side-by-side comparison of AI visibility scores, market position, and capabilities
SF collaborative data workspace combining SQL and Python notebooks with interactive app publishing; $172M total including $70M Avra Series C May 2025 serving Reddit, Anthropic, and Figma competing with Databricks Notebooks and Mode Analytics.
About
Hex is a San Francisco-based collaborative data workspace platform — backed with $172 million in total funding including a $70 million Series C led by Avra in May 2025 — providing data analysts, data scientists, and business intelligence teams with a notebook-style environment that combines SQL, Python, R, and no-code visual tools in a single collaborative workspace for data exploration, analysis, visualization, and sharing interactive reports with non-technical stakeholders. Hex serves customers including Reddit, Anthropic, Figma, Rivian, and the NBA with a platform that bridges the gap between technical data work (SQL queries, Python data manipulation) and business communication (interactive dashboards, narrative reports, embedded charts) without requiring separate tools for analysis and presentation.
$4.8B revenue run-rate; 55% YoY growth; $134B valuation (Series L). Mosaic AI for enterprise LLM fine-tuning and inference; Unity Catalog for data governance. DBRX open-source model; every major enterprise AI deployment runs on the lakehouse.
About
Databricks was founded in 2013 by the original creators of Apache Spark — Ali Ghodsi, Matei Zaharia, and five other UC Berkeley researchers — to unify data engineering, analytics, and machine learning on a single platform. The company commercialized the lakehouse architecture, combining the flexibility of data lakes with the reliability of data warehouses. Databricks runs on AWS, Azure, and GCP and leads the commercial distribution of the open-source Delta Lake and MLflow projects.\n\nThe platform includes the Databricks Lakehouse for unified data processing, Unity Catalog for governance and lineage tracking, and Mosaic AI for enterprise LLM fine-tuning, model serving, and generative AI application development. It supports data engineering, SQL analytics, BI, feature engineering, and model training within a single governance perimeter, serving enterprises in financial services, healthcare, manufacturing, and media.\n\nDatabricks achieved a $4.8 billion annualized revenue run-rate in early 2025 with 55% year-over-year growth and a $62 billion valuation from its Series L round — one of the most valuable private software companies globally. Its dual role as the leading commercial lakehouse vendor and steward of influential open-source projects gives it a unique ecosystem advantage as enterprises accelerate investment in AI infrastructure.
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