The global big data and business analytics market was valued at $198.1 billion in 2020 and is projected to reach $684.1 billion by 2030. Databricks help organizations prepare data for analytics, empower data-driven decisions, and adopt machine learning. It was founded by the original creators of popular open-source projects, including Apache Spark, Delta Lake, and MLflow. It helps its customers unify their analytics across business functions, data science, and engineering. It also enables data science teams to collaborate with data engineering and other lines of business to build data products. Its journey started as a data lake supporting open-source Apache Spark. Today, it has expanded into a broader platform, including a Databricks Marketplace incorporating data storage and positioning itself as a data lakehouse.
Databricks is an enterprise software company that provides data science tools for processing and transforming huge volumes of data to build machine learning models. Its platform built on top of distributed Cloud computing environments like Azure, AWS, or Google Cloud Interactive that enables Data Engineers, Data Scientists, and Analysts to collaborate and work closely on data science notebooks, models, libraries, and building machine learning pipelines at scale.
The core platform is the Databricks' Lakehouse which is based on the open-source Apache Spark framework that allows analytical queries to be processed on semi-structured data. They also support open-source versions for Delta lake, ML Flow and have built-in security governance with Unity catalog for implementing large data projects.
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Databricks had one of the worst pitch decks Ben Horowitz has ever seen. Now it’s riding the A.I. boom as one of the world’s 10 most valuable startups