The Databricks Data Intelligence Platform dramatically simplifies data streaming to deliver real-time analytics, machine learning and applications on one platform.
Enable your data teams to build streaming data workloads with the languages and tools they already know. Simplify development and operations by automating the production aspects associated with building and maintaining real-time data workloads. Eliminate data silos with a single platform for streaming and batch data.
Build streaming pipelines and applications faster
Use the languages and tools you already know with unified batch and streaming APIs in SQL and Python. Unlock real-time analytics, ML and applications for the entire organization.
Simplify operations with automated tooling
Easily deploy and manage your real-time pipelines and applications in production. Automated tooling simplifies task orchestration, fault tolerance/recovery, automatic checkpointing, performance optimization, and autoscaling.
Unify governance for all your real-time data across clouds
Unity Catalog delivers one consistent governance model for all your streaming and batch data, simplifying how you discover, access and share real-time data.
How does it work?
Streaming data ingestion and transformation
Real-time analytics, ML and applications
Automated operational tooling
Next-generation stream processing engine
Unified governance and storage
Streaming data ingestion and transformation
Simplify data ingestion and ETL for streaming data pipelines with Delta Live Tables. Leverage a simple declarative approach to data engineering that empowers your teams with the languages and tools they already know, like SQL and Python. Build and run your batch and streaming data pipelines in one place with controllable and automated refresh settings, saving time and reducing operational complexity. No matter where you plan to send your data, building streaming data pipelines on the Databricks Data Intelligence Platform ensures you don’t lose time between raw and cleaned data.
“More business units are using the platform in a self-service manner that was not possible before. I can’t say enough about the positive impact that Databricks has had on Columbia.”
— Lara Minor, Senior Enterprise Data Manager, Columbia Sportswear
Real-time analytics, ML and applications
With streaming data, immediately improve the accuracy and actionability of your analytics and AI. Your business benefits from real-time insights as a downstream impact of streaming data pipelines. Whether you’re performing SQL analytics