Company Overview
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the team who originally created Apache Spark™, Databricks provides a Unified Analytics Platform that unifies AI and Big Data and enables data science and data engineering teams to collaborate with the business and each other. 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. Databricks is headquartered in San Francisco and venture-backed with $274M in 4 rounds from Andreessen, NEA, and Battery Ventures.
3FORTY3 Executive Search Summary
Searches Completed: Chief Marketing Officer, SVP Business Development, VP Product Marketing, VP Demand Gen, VP Developer Relations, VP ISV Partners
Market Opportunity:
IDC reports that the big data and business analytics (BDA) market is predicted to hit $203 billion in the year 2020, up from $130.1 billion in 2016. Open Source Technologies and Cloud Service Providers are playing a major role – in fact, Apache Spark is considered by many to be the hottest big data technology in the market today. IBM called Spark “the most significant open source project of the next decade” comparing Spark’s expected utility and ultimate impact to that of the Linux operating system. The availability of data, a new generation of technology, and a cultural shift toward data-driven decision making are driving massive demand for big data and analytics technology and services.
At the heart of this growth are industries, like Data Science, Banking, Discrete/Process Manufacturing, Government and Professional Services who require large-scale data processing for their data dependent applications. Today, hundreds of organizations around the world use Databricks to build and power their production Spark applications, and the opportunity for growth and continued leadership in this space is boundless.
