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Databricks
Your data. Your AI. Your future.
Own them all on the new data intelligence platform
INDUSTRY
Technology
STATUS
Trading
OPEN TO
Public
Investment Highlights
Company Overview
Massive-Scale Data Engineering
Databricks enables organizations to handle large-scale data engineering tasks
Collaborative Data Science
Data teams can collaborate effectively using Databricks
Databricks was founded in 2013 by the original creators of Apache Spark™, Delta Lake, and MLflow. These technologies have their roots in academia and the open-source community.
Databricks offers the world’s first and only lakehouse platform in the cloud. This innovative platform combines the best features of data warehouses and data lakes, providing an open and unified environment for data and AI workloads.
Databricks Data Intelligence Platform
- Databricks brings AI to your data, empowering you to bring AI to the world.
- Develop generative AI applications on your data without sacrificing data privacy or control.
- Democratize insights by enabling everyone in your organization to discover valuable insights from your data using natural language.
- Drive down costs by unifying your approach to data, AI, and governance.
The platform unifies all your data and AI needs, including:
- Data Governance: Manage and govern your data effectively.
- Data Warehousing: Efficiently store and query data.
- Data Sharing: Collaborate and share data across teams.
- Orchestration: Streamline workflows and processes.
Customer Stories:
- Industry leaders like JetBlue, Condé Nast, and Unity Catalog Block have achieved breakthroughs, innovated faster, and driven down costs using Databricks.
- JetBlue achieved a high ROI and significant infrastructure cost savings.
- Condé Nast crafts bespoke content with data and AI.
- Unity Catalog Block redefines financial services using data and AI.
Tools and Integrations:
- The Databricks Data Intelligence Platform integrates seamlessly with your existing tools for ETL, data ingestion, business intelligence, AI, and governance.
- Adopt what’s next without discarding what already works.
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