To further on the promise of the Lakehouse as a single data platform for all analytic initiatives – BI, Streaming Analytics, ML and Data Science – Databricks recently announced an expansion of their solution to include SQL Analytics. The new capability, designed to support BI and reporting needs of organizations, provides SQL users a familiar interface in Databricks to help build dashboards and analyze data with ease; and is backed by a new highly price performant, vectorized engine (Delta Engine), tuned specifically for SQL workloads, for faster time to insights.
Qlik, a strategic partner of Databricks, has integrated with the newly launched capability to provide SQL users in Databricks easy access to data and an optimized BI experience. Customers can now leverage the full capabilities of Qlik’s end-to-end data integration and analytics platform with Databricks’ Lakehouse architecture to maximize the value of data in their data lake.
Organizations recognize the criticality of modernizing the entire data and analytics value chain – from access to ingestion, to transformation and insight discovery to trigger action at the point of decision – to make most of their data. With the new SQL capabilities and the expanded partnership, Qlik and Databricks now uniquely provide customers the ability to both optimize the data ingestion process feeding data into Lakehouse, as well as leverage Qlik Sense’s modern approach to analytics to create value through insights from data in Databricks.
The joint solution provides customers:
Watch our recent, on-demand webinar with J.B. Hunt, one of the
largest Transportation and Logistics companies in North America, to hear how
the company is improving its efficiency and customer experience with Qlik and
Databricks or visit our website to learn about our joint
Read what Databricks has to say about SQL Analytics in this blog post.