Databricks through its cloud platform, Databricks Unified Analytics Platform, aims to unify data science and engineering across the Machine Learning ("ML") life cycle from data preparation, to experimentation and deployment of ML applications. The platform is powered by Apache Spark for data science teams to collaborate with data engineering and lines of business to build data products.
Databrick's Unified Analytics Platform has three main components: Through its Databricks Workspace, the platform handles all analytics processes from ETL to models training and deployment. Databricks Runtime aims to quickly prepare clean data at massive scales and continuously train and deploy ML models. Databricks Cloud Service aims to reduce infrastructure complexity while keeping data safe and secure. Databricks additionally provides a genomics platform to help accelerate discovery through genomic data processing and tertiary analytics.
Databricks was founded by the team behind Apache Spark, an open source project in the Big Data ecosystem. Apache Spark is a open source data processing engine built for speed, ease of use, and sophisticated analytics. Databricks is headquartered in San Francisco and is venture-backed by Andreessen Horowitz, NEA and Battery Ventures.
*Based on Preferred Stock Price, Databricks does not have a stock symbol since it is currently private and is yet to have an IPO.
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