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1. • Open source analytics engine

     • Apache Spark is an open source analytics engine used for big data workloads that can handle both batches as well as real-time analytics.
     www.databricks.com/glossary/what-is-apache-spark

     Introduction to Apache Spark - Databricks

2. People also ask

   Does Databricks use Apache Spark?

   • Databricks SQL uses Apache Spark under the hood, but end users use standard SQL syntax to create and query database objects. Databricks Runtime for Machine Learning is optimized for ML workloads, and many data scientists use primary open source libraries like TensorFlow and SciKit Learn while working on Databricks.

   Apache Spark on Databricks | Databricks on AWS

   docs.databricks.com/en/spark/index.html

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   What is Databricks?

   • For more information about Spark, you can also reference: Databricks is a Unified Analytics Platform on top of Apache Spark that accelerates innovation by unifying data science, engineering and business. With our fully managed Spark clusters in the cloud, you can easily provision clusters with just a few clicks.

   Getting Started with Apache Spark on Databricks – Databricks

   www.databricks.com/spark/getting-started-with-apache-spark

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   What is Apache Spark?

   • Apache Spark is an open source analytics engine used for big data workloads. It can handle both batches as well as real-time analytics and data processing workloads. Apache Spark started in 2009 as a research project at the University of California, Berkeley. Researchers were looking for a way to speed up processing jobs in Hadoop systems.

   Introduction to Apache Spark | Databricks

   www.databricks.com/glossary/what-is-apache-spark

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   Is Databricks open source?

   • It has quickly become the largest open source community in big data, with over 1000 contributors from 250+ organizations. The team that started the Spark research project at UC Berkeley founded Databricks in 2013. Apache Spark is 100% open source, hosted at the vendor-independent Apache Software Foundation.

   Learn About Databricks Spark | Databricks

   www.databricks.com/spark/about

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   What is Databricks unified analytics platform?

   • The Databricks Unified Analytics Platform offers 5x performance over open source Spark, collaborative notebooks, integrated workflows, and enterprise security — all in a fully managed cloud platform. The open source Apache Spark project can be downloaded here

   Learn About Databricks Spark | Databricks

   www.databricks.com/spark/about

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   Is Apache Spark open source?

   • Apache Spark is 100% open source, hosted at the vendor-independent Apache Software Foundation. At Databricks, we are fully committed to maintaining this open development model. Together with the Spark community, Databricks continues to contribute heavily to the Apache Spark project, through both development and community evangelism.

   Learn About Databricks Spark | Databricks

   www.databricks.com/spark/about

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3. www.databricks.com › glossary › what-is-apache-sparkIntroduction to Apache Spark - Databricks

   www.databricks.com › glossary › what-is-apache-spark

   • Cached

   What Is Apache Spark? Apache Spark is an open source analytics engine used for big data workloads. It can handle both batches as well as real-time analytics and data processing workloads. Apache Spark started in 2009 as a research project at the University of California, Berkeley.

4. docs.databricks.com › en › sparkApache Spark on Databricks

   docs.databricks.com › en › spark

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   This article describes how Apache Spark is related to Databricks and the Databricks Data Intelligence Platform. Apache Spark is at the heart of the Databricks platform and is the technology powering compute clusters and SQL warehouses.

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6. www.databricks.com › spark › aboutLearn About Databricks Spark | Databricks

   www.databricks.com › spark › about

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   Explore Apache Spark: A unified analytics engine for big data and machine learning, boasting speed, ease of use, and extensive libraries.

7. www.databricks.com › spark › getting-started-withGetting Started with Apache Spark on Databricks – Databricks

   www.databricks.com › spark › getting-started-with

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   Apache Spark is a powerful open-source processing engine built around speed, ease of use, and sophisticated analytics. “At Databricks, we’re working hard to make Spark easier to use and run than ever, through our efforts on both the Spark codebase and support materials around it.

8. databricks-prod-cloudfront.cloud.databricks.comIntroduction to Apache Spark on Databricks - Databricks

   databricks-prod-cloudfront.cloud.databricks.com

   Databricks is a managed platform for running Apache Spark - that means that you do not have to learn complex cluster management concepts nor perform tedious maintenance tasks to take advantage of Spark.

9. databricks-prod-cloudfront.cloud.databricks.comA Gentle Introduction to Apache Spark on Databricks

   databricks-prod-cloudfront.cloud.databricks.com

   Databricks is a managed platform for running Apache Spark - that means that you do not have to learn complex cluster management concepts nor perform tedious maintenance tasks to take advantage of Spark. Databricks also provides a host of features to help its users be more productive with Spark.

10. docs.databricks.com › en › introductionWhat is Databricks? | Databricks on AWS

    docs.databricks.com › en › introduction

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    Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. The Databricks Data Intelligence Platform integrates with cloud storage and security in your cloud account, and manages and deploys cloud infrastructure on your behalf. In this article: