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Databricks

  • Data Science
  • 0 Case Studies
Databricks simplifies data and AI so you can innovate faster
About

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

With origins in both academia and the open-source community, Databricks has always been devoted to simplifying data, sharing knowledge and pursuing truths. Founded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks brings together data engineering, science and analytics on an open, unified platform so data teams can collaborate and innovate faster.

More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics.

Venture-backed and headquartered in San Francisco (with offices on four continents) and hundreds of global partners, including Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton, Databricks is on a mission to help data teams solve the world’s toughest problems.

Company Details
  • https://databricks.com
  • Headquarters San Francisco, CA
  • Year Founded 2013
  • Current Funding $897M
  • Company Size 1,001-5,000 employees
  • Specialties Machine Learning, Data Science, Deep Learning, Business Intelligence

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