Databricks

Cloud Data & AI

Founded in 2013 by the original creators of Apache Spark, Databricks provides a unified data analytics platform that combines data engineering, data science, and machine learning.

View Official Databricks Careers

Official Databricks Careers Website

Quick Facts

Founded: 2013
Founders: Ali Ghodsi, Matei Zaharia & others
Headquarters: San Francisco, California
Industry: Cloud Data & AI

About Databricks

Databricks was founded in 2013 by the academic researchers from UC Berkeley who originally created Apache Spark, the popular open-source distributed computing framework. The company built a managed platform around Spark to help enterprises process massive datasets in the cloud.

Databricks is widely credited with pioneering the 'Data Lakehouse' architecture, which combines the vast storage capacity of data lakes with the reliability and structure of traditional data warehouses. The company is heavily invested in open-source ecosystems, including MLflow and Delta Lake.

What Databricks Does

Data Engineering

Tools and pipelines for transforming and moving massive datasets reliably.

Data Warehousing

Databricks SQL provides highly performant queries directly on the data lake.

Machine Learning & AI

End-to-end ML environments including model training, tracking (MLflow), and generative AI capabilities.

Data Governance

Unity Catalog offers centralized governance, access control, and auditing across data and AI assets.

Career Areas

Types of professional roles found inside Databricks.

Software Engineering
Data Science & AI
Product Management
Sales & Go-to-Market
Customer Success
Marketing

Databricks's History

2013
Founded
Databricks is founded by the creators of Apache Spark at UC Berkeley.
2018
MLflow released
Releases MLflow, an open-source platform for managing the machine learning lifecycle.
2020
Lakehouse paradigm
Formally introduces the Data Lakehouse architecture, combining data lakes and warehouses.
2023
MosaicML acquired
Acquires generative AI platform MosaicML for $1.3 billion to accelerate enterprise AI adoption.

Purpose & Values

“To help data teams solve the world's toughest problems”

Databricks believes that data and AI are the keys to solving complex challenges, and its mission is to radically simplify data infrastructure so teams can focus on innovation.

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