“From a revenue standpoint, things we’ve been investing in like Delta Live Tables Databricks SQL – these are services that really enable the lakehouse paradigm to come to life, enable those really advanced data engineering and data warehousing use cases on a data lake. “If you don‘t out innovate yourself, somebody else will,” Minnick said. In recent months the company has debuted a number of data lakehouse packages targeting such vertical industries as financial services, healthcare and retail and developed its Brickbuilder Solutions program to work with partners within specific verticals. Minnick said Databricks’ revenue is largely generated by developing high-level data lakehouse functionality and software for specific use cases and vertical industries. “All that performance, the query performance in particular that you get out of Databricks when you‘re using Delta Lake, you will now be able to achieve that anywhere you deploy Delta Lake.” “With the announcement of Delta Lake 2.0, we’re very pleased to be able to say all those performance enhancements that we have built on top of Delta Lake, we are giving those to the Linux Foundation,” Minnick said. The move, Minnick said, means that businesses and organizations can get the same Delta Lake performance whether they choose to run it on Databricks or some other platform. But at the end of the day, we are an open-source company at heart and wanted to bring those back to the community,” said Joel Minnick, Databricks marketing vice president, in an interview with CRN. “There are a lot of performance enhancements we built on top of Delta Lake over the last couple of years. This week the company released Delta Lake 2.0 and said it will contribute all Delta Lake features and enhancements to the Linux Foundation and will open source all Delta Lake APIs. And the Apache Iceberg and Apache Hudi technologies are seen as open-source alternatives to the Databricks-supported Delta Lake.ĭelta Lake is data storage and data table format technology developed by Databricks and open sourced by the company in 2019. But it faces stiff competition in the data lakehouse arena against such companies as Snowflake, Dremio and Cloudera – as well as the major cloud service providers AWS, Microsoft and Google. The company also unveiled an online marketplace where businesses – including channel partners – can package and distribute data and analytics assets.ĭatabricks, with its Databricks Lakehouse Platform, is one of the fastest growing companies in the IT space. Data lakehouse technology developer Databricks is taking its lakehouse platform to the next level with a series of new capabilities – including expanded data governance and machine learning pipeline functionality – that boost analytic workload performance.ĭatabricks, which held its Data + AI Summit in San Francisco this week, also said the company is contributing all Delta Lake enhancements to the Linux Foundation with the release of Delta Lake 2.0 and unveiled Project Lightspeed for developing next-generation Spark streaming data analytics technology.
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