Databricks
Databricks sells a unified platform for data engineering, analytics, machine learning, and enterprise AI. Its strategic question is whether the lakehouse becomes the system of record for the data and context AI agents need.
The Company
Databricks was founded by the team behind Apache Spark and built its business around the lakehouse: an architecture combining data-lake flexibility with the governance and performance associated with data warehouses. It is sold across the major clouds for data engineering, business intelligence, machine learning, and AI workloads.
The company is moving beyond storage and analytics into the application layer. Its current product push includes Lakebase, a managed database for AI-built applications, Unity AI Gateway for controlling model access and spend, and Genie for querying enterprise information through natural language.
Why It Matters
Databricks is one of the clearest private-market tests of whether enterprise AI spend consolidates around a data platform rather than a single model provider. Its scale makes it a consequential future public-market comparable for Snowflake, cloud platforms, and AI infrastructure vendors.
Valuation History
What Changed
Acquired MosaicML, expanding from data tooling toward foundation-model and generative-AI workloads.
Announced a $10B Series J investment at a $62B valuation.
Raised capital at a reported $100B valuation as investor attention shifted to enterprise AI infrastructure.
A financing reportedly placed Databricks at $134B.
Closed a $5B strategic round at $190B and reported revenue run-rate above $7B.
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