Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Databricks’ founders started the Spark research project at UC Berkeley that later became Apache Spark. Databricks provides a Unified Analytics Platform powered by Apache Spark for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell and HP. For more information, visit www.databricks.com.


Databricks Unified Analytics Platform - Harness the power of AI through a truly unified approach to data analytics powered by Apache Spark™. With Databricks UAP, your agency will unify analytics with Apache Spark, streamline analytic workflows, increase productivity of data science teams, and reduce risk.



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Databricks offers a cloud platform powered by Apache® Spark™, that makes it easy to turn data into value, from ingest to production, without the hassle of managing complex infrastructure, systems and tools. A complete solution for data scientists and engineers.


Ready to discover how unifying your data science, engineering, and analytics can benefit you?Download our eBook for tips on:Accelerating your ETL and scaling data volumeBuilding models and finding patterns in data without waiting on the infrastructure team to provision and configure hardwareSimplify...

The Apache Spark™ Collection is a set of comprehensive guides written by Matei Zaharia and Bill Chambers. Focusing on how Apache Spark can be used to speed analytic applications by orders of magnitude quickly winning the market. These three eBooks covering topics ranging from:An introduction to S...


Since its release, Apache Spark Streaming has become one of the most widely used distribution streaming engines, thanks to its high-level API and exactly-once semantics. Most streaming engines focus on performing computations on a stream. Instead, stream processing happens as part of a larger applic...

Big data is transforming the government sector. Databricks provides government agencies with a Unified Analytics Platform built to handle the most sensitive data while simplifying data science with a scalable and collaborative platform.

Apache Spark is an open source data processing engine built for speed, ease of use, and sophisticated analytics. Since its release, Spark has seen rapid adoption by enterprises across a wide range of industries.

Databricks is a hosted end-to-end data platform powered by Apache® Spark™. Databricks makes it easy to turn data into value, from ingest to production, without the hassle of managing complex infrastructure, systems and tools.

Check out some of the features and benefits Databricks provides.

Solutions Brief

As companies set their sights on making data-driven decisions or automating business processes with cutting edge technologies such as machine learning and artificial intelligence, mastering data engineering is an essential step to ensure the infrastructure is in place to operationalize data pipeline...

Businesses are generating data at a faster pace than ever: 90% of the world’s data was generated within the last two years. The increased data volume is rapidly outpacing our ability to consume it. Data science allows businesses to efficiently predict future outcomes, and even preemptively take ac...