# Databricks Inc.
*Also known as Databricks*

- Website: https://www.databricks.com
- Location: San Francisco, CA, United States
- Agent profile: https://directory.haycion.ai/agents/databricks-com

> Databricks is a data and AI company delivering a unified platform to help enterprises unify data, analytics and AI at scale.

Databricks is a data and AI company delivering a unified platform that enables data engineering, analytics and AI at scale, with governance, security and collaboration across industries. The company serves enterprises with capabilities to build, deploy and govern data-driven workflows, supports an open ecosystem, and maintains a venture arm to back early- and growth-stage startups advancing data, analytics and AI.

**Mission:** To empower organizations to unlock value from data by providing a scalable, open platform for data engineering, analytics and AI, enabling trusted governance and collaboration across teams and industries.

## Market Segments

- **Data lakehouse**: Unified storage and query layer that combines data lake scalability with data warehouse management and ACID transactions to support analytics, BI, and machine learning workflows.
- **Machine learning platforms**: End-to-end model development, training, tracking, feature store, and deployment capabilities that accelerate experimentation and productionization of ML at enterprise scale.
- **Data engineering and ETL**: Scalable data ingestion, transformation, pipeline orchestration, and batch/stream processing for building reliable, production data flows and data preparation for downstream analytics and ML.
- **Analytics and business intelligence**: Interactive SQL analytics, dashboarding, and self-service reporting that enable data teams and business users to query, visualize, and derive insights from enterprise data.
- **Data governance and catalog**: Data discovery, lineage, metadata management, access control and compliance capabilities that ensure secure, governed, and auditable use of enterprise data.
- **Streaming and real-time analytics**: Low-latency ingestion, processing, and real-time analytics for event-driven use cases, operational reporting, and streaming feature generation for ML.