Data Integration

Enabling Enterprise AI: Qlik Cloud Data Integration ​Supports​ Databricks Unity Catalog

Headshot of blog author Tom Griggs

Tom Griggs

8 min read

Driven by the desire to embrace AI for competitive advantage and performance improvements, organizations are looking to trusted technology partners to guide them on where to focus and how to scale AI quickly and safely.

With the recent White House Executive Order on AI underlining its significance, the quest to discern the right focus and expedite safe, scalable AI implementations has never been more crucial.

Over the years, Qlik has become a trusted partner to Databricks customers, making significant and continual investments so our data integration solutions can support and bring more value to Delta Lake and the lakehouse. Those efforts were recognized earlier this year when Qlik was named the Databricks  Partner of the Year for Data Integration and one of the fastest-growing data and AI products of 2023 in Databrick’s The State of Data + AI report.

Now, in this new AI era where quickly and cost-effectively accessing data to feed data models is critical, Qlik is again delivering for Databricks customers. Qlik Cloud Data Integration now seamlessly supports and enhances Databricks Unity Catalog, enabling organizations to unlock the full potential of their data assets and transform that data to make it AI-ready for their Lakehouse.

Qlik Cloud Data Integration & Databricks Unity Catalog

Being able to trust and govern the data used for AI is vital to creating confidence in outputs, which organizations know is crucial to AI adoption. Databricks Unity Catalog is the industry’s first unified governance solution for data and AI on the Lakehouse. With Unity Catalog, organizations can seamlessly govern and share their structured and unstructured data, machine learning models, notebooks, dashboards and files on any cloud or platform, accelerating data and AI initiatives while ensuring regulatory compliance in a simplified manner. With Qlik’s support for Unity Catalog, customers use its low-code no-code data integration capabilities to gain more confidence and get easier access to their data. Qlik Cloud Data Integration helps automate data pipelines, execute on-the-fly data transformations, and deliver analytics and AI-ready data. With the combination of Qlik Cloud Data Integration and Unity Catalog, data engineers, architects and developers can boost productivity and spend more time unlocking insights in the Databricks lakehouse environment.

Diagram of Qlik Talend Data Integration workflow with Databricks

Helping Customers Prepare for Data Engineering in the Age of AI

Qlik Cloud Data Integration offers a range of capabilities that align perfectly with the objectives of Unity Catalog and helping customers scale AI adoption and impact.

  • Qlik Cloud Data Integration excels in the data integration and extract, load and transform (ELT) of data from any source that customers would want to leverage in AI and large language model activities, including SAP, Mainframes, and other legacy sources into the Lakehouse.

  • Qlik Cloud Data Integration's Data Catalog complements the comprehensive cataloging capabilities of Databricks Unity Catalog, enabling users to discover, organize, and map data assets from multiple platforms, including MySQL, PostgreSQL, Amazon Redshift, Azure, and more, so they can more easily access data outside of Databricks and bring it into the lakehouse for AI efforts.

These capabilities more easily and securely open up an organization’s entire data universe for AI, helping them stream data, manage orchestration, apply governance and enable data sharing at scale.

“Unity Catalog is our flagship solution for unified governance and search across data and AI assets. Now with Qlik Cloud Data Integration support for Unity Catalog, our customers are able to get a transparent view of their data ecosystemand leverage their lakehouse more effectively in support of their AI goals,” said Sarah Branfman, Vice President of ISV Sales at Databricks.

As Qlik and Databricks customers are getting ready for AI at scale they are building large language models that run in the cloud are efficient and automated. Qlik’s data integration and quality solutions are serving as that trusted data foundation with Databricks customers today.


“The Mercedes MO360 Data Platform is the evolution of our digital production ecosystem. MO360 allows teams to identify supply chain bottlenecks faster and enable a dynamic prioritization of production resources. This unified data platform includes integrated solutions from Microsoft, Databricks and Qlik, and provides Mercedes with flexibility and cloud computing power to run artificial intelligence (AI) and analytics at global scale while addressing cybersecurity and compliance standards across regions.” – Mercedes Benz


“We’re trying to deliver a solution where same-day analytics is possible from a business perspective, instead of taking five or six hours to replicate data, now we’re doing it within minutes and we can do it over and over again.” – JB Hunt


More and more AI is factor of every enterprise data strategy, and Databricks customers can confidently deploy Qlik alongside their lakehouse to drive successful AI strategies across their organization.

Learn more about how Qlik and Databricks help drive AI strategies forward in our upcoming webinar on November 7, “Data Engineering in the Age of AI.” Experts from Qlik and Databricks will discuss how to leverage data integration solutions to deliver trusted data that’s AI-ready to Databricks while also effectively managing transformation costs, which is crucial when designing data engineering for AI and LLM finetuning.

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