One cloud platform for massive scale data engineering and collaborative data science
Databricks Overview

Databricks is a collaborative, data-native platform for data science and machine learning that empowers data science and ML teams to prepare and process data in a self-service manner — and manage the full ML lifecycle from experimentation to production.

Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • Private Cloud or Datacenter
  • SaaS

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Databricks Vendor Information
Vendor Overview
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. Databricks was founded in 2013 and has thousands of global customers including Comcast, Shell, HP, Expedia, and Regeneron. The company also has hundreds of global partners that include Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton. Databricks is founded by the original creators of popular open source projects, including Apache Spark, Delta Lake, MLflow and Koalas.
Vendor Details
Year Founded
HQ Location
San Francisco, California, United States

Contact Request

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