AI Boom Boosts Databricks: $4B Funding Round Lifts Valuation to $134B
Databricks secures $4 billion in Series L funding at $134B valuation, fueling AI product growth, Lakebase database development, and enterprise AI agent deployment.
Databricks is a data and AI platform company helping enterprises build analytics, machine learning, generative AI, and agent systems on governed data.
Databricks is a data and AI company best known for its lakehouse platform, Apache Spark heritage, and enterprise tools for building data pipelines, analytics systems, machine learning workflows, and AI applications. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from big data infrastructure into a broad AI platform for organizations building models, agents, and analytics products on their own data.
The company serves enterprises that need governed data, model training, vector search, machine learning operations, and AI agent development. Its AI strategy has accelerated through products such as Mosaic AI, Genie, and model-serving tools, as well as acquisitions and integrations across the data and AI stack.
Lakehouse platform, MLflow, Mosaic AI, model serving, vector search, data pipelines, notebooks, governance, and AI agent tools.
Cloud usage, enterprise contracts, data platform subscriptions, AI workload pricing, professional services, and marketplace integrations.
Databricks secures $4 billion in Series L funding at $134B valuation, fueling AI product growth, Lakebase database development, and enterprise AI agent deployment.
OpenAI and Databricks have forged a multiyear $100 million partnership to embed powerful AI agents into enterprise data platforms, enabling organizations to build agents using their own data.