2013
San Francisco
Series K
Databricks offers data engineering tools for ETL and streaming, SQL warehouses for BI analytics, MLflow for machine learning lifecycle management, and AI capabilities including vector search and model serving.
Lakehouse platform combining data lakes and warehouses with Apache Spark for scalable data processing
Delta Lake storage with ACID transactions for reliable, governed data management
SQL warehouses and interactive notebooks supporting Python, R, and Scala for data analysis and collaboration
Unity Catalog for data governance, lineage tracking, and access control across cloud environments
MLflow for machine learning lifecycle management including model training, tracking, and serving
AI and vector search capabilities for generative AI and large language model applications
Real-time streaming analytics via Structured Streaming for continuous data processing
B2B SaaS subscription model with pricing based on Databricks Units (DBUs) consumed for compute and storage
Cloud-agnostic multi-cloud deployment on AWS, Azure, and GCP with flexible pricing models
Enterprise contracts with data engineering, analytics, and AI/ML workloads across industries
Professional services and consulting for implementation, migration, and optimization projects
Premium support and managed services for large-scale deployments
$19.2Billion
13
$1Billion, Series K
as of September 8, 2025
$100Billion
as of September 8, 2025
-
as of N/A
Harmony Venture Partners
and 2 more13898
BrandIdea
No Exits
| Date | Round Name | Amount | Valuation | Revenue | Revenue Multiple | Investors |
|---|---|---|---|---|---|---|
| September 8, 2025 | Series K | $1Billion | $100Billion | - | - | Andreessen Horowitz, Insight Partners, MGX, Thrive Capital |