The improved integration of Qlik and Databricks products is part of an expanded relationship between the companies, and will allow Databricks customers to take advantage of Qlik's end-to-end data integration and analytics platform alongside Databricks' lakehouse architecture to make better use of their data lakes.
As reported earlier today, Databricks SQL Analytics which allows workloads that would normally need a data warehouse to run on a data lake, hence the term 'lakehouse.'
Qlik helps optimise the lakehouse data ingestion process, and allows the use of Qlik Sense analytics to gain insights from data held in Databricks.
"Increasingly, we're seeing customers looking for joint solutions that can impact the entire data and analytics lifecycle," said Qlik senior vice president of tech alliances Itamar Ankorion.
"At any point along the chain – from access to ingestion, to transformation and insight discovery that triggers action at the point of decision – customers can confidently combine Qlik's end-to-end data integration and analytics solutions with Databricks to drive more value from their data."
Databricks senior vice president of business development and partners Michael Hoff said "Databricks' strategic partnership with Qlik helps customers maximise the value of data by delivering analytics and ML with a modern data platform."
"With SQL Analytics, data analysts can easily deploy Qlik's complete data integration and analytics portfolio alongside Databricks' lakehouse architecture for an optimised BI experience on their entire data lake."
Qlik and Databricks are running a virtual workshop (co-sponsored by Microsoft) on 8 December 2020.