"Databricks is a cloud-based unified data analytic and big data management platform."
Databricks is the solution that combines data science, engineering, and business to use the power of AI within a genuinely unified approach to data analytics. The solution is powered by Apache Spark, which is a completely open-source platform, hosted at the vendor-independent Apache Foundation.
Main users of Databricks are mostly used by data scientists and engineers in medium-sized and large enterprises, belonging to energy and utilities, financial services, advertising, and marketing industries. With this service, users can unify their analytics operations, streamline workflows, increase the productivity of data teams, reduce risk, optimize I/O performance, and many more. It also offers a collaborative workspace, so data teams are able to create data pipelines, test machine learning models, and provide insights to the business via the same platform.
When it comes to security, there are following solutions: role-based access management, identity management, data encryption, compliance standards support, and severe auditing. Databricks is used with the support of Microsoft Azure and Apache Spark.
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It is mostly used together with Microsoft Azure and Apache Spark.
Yes, it offers an API.
Integrations: Looker, Amazon Redshift, Tableau, Talend, Amazon Kinesis, Alteryx, MnigoDB, TIBC Spotfire, Pentaho, Cassandra, and Redis.
Databricks are mostly used by data scientists and engineers in medium-sized and large enterprises, belonging to energy and utilities, financial services, advertising, and marketing industries.
Databricks is designed native to the cloud and on top of the propriety platform which allows its runtime to optimize Apache Spark.
Support: Knowledge Base, Online Support, Training, Webinars, and Videos.
This service is generally used as a unified data analytic solution.