Company Overview of Databricks, Inc.
Databricks, Inc. offers software for analyzing and extracting value from data. The company was incorporated in 2013 and is based in Berkeley, California.
2030 Addison Avenue
Berkeley, CA 94704
Founded in 2013
Key Executives for Databricks, Inc.
President, CEO, and Director
Compensation as of Fiscal Year 2014.
Databricks, Inc. Key Developments
Databricks and Intel Collaborate to Optimize Apache Spark-Based Analytics for Intel(R) Architecture
Feb 20 15
Databricks, Inc. announced plans to collaborate with Intel to optimize Spark real-time analytic capabilities for Intel architecture. Enterprises are increasingly developing applications to extract real-time insights from large data sets. The necessity for real-time analytics across Intel architecture is a vital piece of the Big Data puzzle to enable the extraction of prompt, actionable insights from large data sets. As an open source framework that enables stream processing as well as fast queries on large data sets stored on a Hadoop cluster, Apache Spark supports new modes of analytics on big data platforms based on the Apache Hadoop ecosystem.
Skytree Teams Up with Databricks to Enhance Skytree Infinity's Performance with Spark
Nov 4 14
Skytree announced that it is partnering with Databricks. Skytree has been Databricks-certified to work with Apache Spark, enabling enterprises to benefit from best-in-class machine learning for interactive workloads. The Skytree Infinity platform makes it easier for enterprises to inject high value machine learning capabilities into their business processes through a comprehensive REST API layer and pre-built Python and Java SDKs. With the Databricks partnership and Spark certification, Skytree Infinity has increased the platforms' ability to work with interactive data and bring high performance, enterprise grade Machine Learning to Spark.
Databricks Announces Partnership with SAP
Jul 1 14
Databricks announced a new partnership with SAP and to deliver a Databricks-certified Apache Spark distribution offering for the SAP HANA(R) platform. The full production-ready distribution offering, based on Apache Spark 1.0, is deployable in the cloud or on premise and available for immediate download from SAP at no cost at spr.ly/SAP_and_Spark. The Databricks-certified distribution offering for SAP HANA contains the Spark processing engine that works with any Hadoop distribution out of the box, providing a more complete data store and processing layer for Hadoop. Certified by Databricks to be compatible with the Apache Spark Distribution, this enables the rapidly growing set of "Certified on Spark" applications to run out of the box and on SAP HANA. This production-ready distribution offering is the first result of Databricks' new partnership with SAP. SAP HANA integrated with Spark will help enable real-time applications and interactive analysis across corporate application data with content stored in Hadoop Distributed File System (HDFS). Developers and data scientists developing on Spark can also benefit from end-to-end data processing acceleration in SAP HANA by leveraging its comprehensive suite of in-memory engines and libraries for transactional applications, analytics, predictive, machine learning, text, graph and geospatial analysis. This helps simplify the integration of mission-critical applications with contextual data stored in Hadoop-like data stores. As a result, in-memory computation is enabled to happen where data resides and can help minimize costly and time-consuming data movement.
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