Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering, and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA, and Battery Ventures, among others, have a global customer base that includes Salesforce, Viacom, Shell, and HP.
"The notebooks feature in Databricks encourages good documentation by automatically recording the code written during an ad hoc analysis session. This has had profound effects for us, from increasing collaboration and improving reproducibility to making analysis more approachable to a wider audience, who can start off by cloning someone else’s research."
"With Databricks, we have been able to significantly reduced query times on large data sets by a factor of ten, allowing data analysts to regain 20 percent of their workday. The Databricks platform offers our business an unparalleled level of simplicity, performance, and flexibility."
"We do streaming ingestion using Databricks’ S3-SQS source into Delta Lake tables efficiently without too much operational overhead to make good quality data readily available for analytics."
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