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" ... Databricks is backed by the four cloud titans—Amazon, Google, Microsoft and Salesforce—in addition to blue-chip investors such as Andreessen Horowitz and Coatue. Built on top of the analytics engine Apache Spark (also created by its founders), the UC Berkeley-bred company combines the raw data repositories, or “data lakes” with the structured information of “data warehouses” to create what CEO Ali Ghodsi calls a “lakehouse” where companies store and make use of their data. “We’re able to consolidate all of a customer’s data workloads, across both analytics and AI, on a single platform,” he says. Comcast, Credit Suisse and T-Mobile are among 5,000 customers using Databricks to build business analytics or machine learning tools. They’ve helped the company reach $425 million in annual recurring revenue; following a $1 billion funding round earlier this year, an IPO could soon be on the horizon. ... "
" ... Finally, creating a data lakehouse reduces overall complexity and latency of your systems. Because you're no longer copying data from the data lake to the data warehouse, you're not introducing latency. Moving data from one stage of curation to the next is a simple SQL query. ... "