Databricks is the data and AI company behind the Databricks Data Intelligence Platform, built on an open lakehouse architecture to unify data, analytics, governance and AI. The platform brings together data engineering, data warehousing, business intelligence, machine learning and AI application development in a single environment so organizations can work from the same governed data foundation.
Databricks positions its platform as open and cloud-native, integrating with customer cloud storage and security while using generative AI and natural language capabilities to help teams discover data, build pipelines, develop models, create applications and operationalize insights. Its portfolio spans transactional databases, governed sharing, analytics and AI tooling for enterprise production use.
Offerings, Capabilities, and Integrations
Databricks combines capabilities for ingesting, transforming, managing, querying and sharing data, then extends that same foundation into analytics, machine learning, generative AI and application development. Governance is embedded across data and AI assets, giving organizations centralized control over access, lineage, auditing, discovery and quality monitoring.
The platform is designed for open, multicloud deployment. Databricks supports AWS, Microsoft Azure and Google Cloud, integrates with cloud storage and identity controls, and emphasizes compatibility with open technologies such as Apache Spark, Delta Lake, Delta Sharing and MLflow. It also supports ecosystem connectivity through marketplaces, partner integrations, APIs and native application-building tools.
Products and Services
- Databricks Data Intelligence Platform: Databricks’ flagship open lakehouse platform that unifies data engineering, data warehousing, governance, analytics, AI and application development on a shared data foundation.
- Lakebase: A fully managed PostgreSQL-based operational database integrated with the Databricks platform for transactional workloads, applications and AI agents.
- Agent Bricks: A Databricks capability for building and optimizing domain-specific AI agent systems with automated experimentation, evaluation and deployment workflows.
- AI/BI: Databricks’ business intelligence offering for AI-powered dashboards, Genie spaces and self-service analytics on governed data.
- Unity Catalog: The unified governance layer for data and AI assets, providing centralized permissions, discovery, lineage, auditing, quality monitoring and secure sharing.
- Lakeflow: Databricks’ end-to-end data engineering offering for ingestion, transformation and orchestration, including Lakeflow Connect, Spark Declarative Pipelines and Jobs.
- Databricks Apps: A serverless environment for building, deploying and sharing secure data and AI applications directly on the Databricks platform.
- Databricks Marketplace: An exchange for data products and partner integrations, including datasets, notebooks, models, solution accelerators and MCP servers.
- Databricks SQL: The data warehousing and SQL analytics environment for querying lakehouse data with SQL warehouses, query tools, dashboards and automation features.
- Mosaic AI: Databricks’ integrated AI and machine learning platform for building, deploying, serving and monitoring generative AI and ML applications.
Target Customers
Databricks targets enterprises that want a common platform for data engineering, analytics, governance and AI. Core users include data engineers, data scientists, machine learning engineers, analysts, SQL developers, software developers and app developers, along with business users who need governed dashboards and natural-language access to data.
The company also aligns its solutions to industry needs in communications, media and entertainment, financial services, public sector, healthcare and life sciences, retail, and manufacturing. Databricks is a fit for organizations modernizing fragmented data estates, operationalizing governed AI, supporting cross-functional data teams and building operational or customer-facing applications on the same data foundation.
Cloud Integrations and Marketplace
- AWS Marketplace: Databricks Data Intelligence Platform is available as a SaaS offering on AWS Marketplace for deployment and purchasing on AWS.
- Azure Marketplace: Azure Databricks is listed in Azure Marketplace as a Microsoft offering with integration into Azure services and data stores.
- Google Cloud Marketplace: Databricks on Google Cloud is deployable through Google Cloud Marketplace and is positioned to work with Google Cloud services such as BigQuery, Vertex AI and Gemini.
Key People
- Ali Ghodsi: Co-founder and CEO
- Matei Zaharia: Co-founder and CTO
- Dave Conte: Chief Financial Officer
- Andy Kofoid: President, Global Field Operations
- Ron Gabrisko: Chief Revenue Officer
- Reynold Xin: Co-founder and Chief Architect
- Arsalan Tavakoli: Co-founder and SVP, Field Engineering
- Naveen Zutshi: Chief Information Officer
- Robin Sutara: Field CDO
Key Facts
- Headquarters: San Francisco, California, United States
- Employees: Approximately 8,000
- Annual Revenue: Approximately $5.4B revenue run-rate
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: No (privately held)
Analyst Recognitions
- Gartner: Leader in Gartner Magic Quadrant for Data Science and Machine Learning Platforms (2024). Leader in Gartner Magic Quadrant for Cloud Database Management Systems (2024).
- Forrester: Leader in The Forrester Wave: Data Lakehouses, Q2 2024. Leader in The Forrester Wave: Cloud Data Pipelines, Q4 2023.
- IDC: Leader in IDC MarketScape: Worldwide Analytic Stream Processing Software (2024).
