Databricks Founded


              Databricks Founded

Here’s a breakdown of the founding of Databricks:


  • Databricks was founded by the original creators of Apache Spark, a powerful open-source data processing engine designed for large-scale, distributed computing.
    • The core founding team from UC Berkeley’s AMPLab includes Ali Ghodsi.
    • Matei Zaharia
    • Reynold Xin
    • Ion Stoica
    • Andy Konwinski
    • Patrick Wendell
    • Arsalan Tavakoli-Shiraji

Year Founded: 2013


  • Databricks emerged from the research efforts at UC Berkeley’s AMPLab, where the founders were instrumental in developing Apache Spark.
  • They recognized a need for a commercial solution that would simplify Spark’s use and provide enterprise-level features and support.

Key Points:

  • Databricks aimed to make large-scale data processing and machine learning more accessible with its cloud-based platform.
  • The company popularized the concept of the lakehouse architecture, combining the flexibility of data lakes with the structure and reliability of data warehouses.
  • Today, Databricks is a critical player in the big data and AI landscape and is used by thousands of organizations worldwide.

Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



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