Databricks’ founders started the Spark research project at UC Berkeley, which later became Apache Spark™. We’ve been working for the past ten years on cutting-edge systems to extract value from Big Data. We believe that Big Data is a huge opportunity that is still largely untapped, and we’re working to revolutionize what you can do with it.
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. 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 Salesforce, Viacom, Shell and HP.
Apache Spark is 100% open source, hosted at the vendor-independent Apache Software Foundation. At Databricks, we are fully committed to maintaining this open development model. We believe that no computing platform will win in the Big Data space unless it is fully open.
Spark has one of the largest open source communities in Big Data, with over 1000 contributors from 250+ organizations. Databricks works within the open source community to maintain this momentum.