Qlik Expands Integration with the Databricks Data Intelligence Platform

New capabilities—including real-time UniForm table streaming and Iceberg optimization—accelerate Delta/Iceberg interoperability, trusted data products, and AI-ready pipelines for Mosaic AI

Qlik^®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced a series of new capabilities for customers of Databricks, the Data and AI company, built on the Databricks Data Intelligence Platform. These enhancements include streaming real-time data into Unity Catalog’s Uniform tables via change data capture (CDC), automated Apache Iceberg™ optimization through Qlik Open Lakehouse, and the creation of high-quality data products.

These enhancements give data teams greater flexibility across open formats, improve operational performance with Delta and Iceberg data, and accelerate the path to trusted, AI-ready architectures, without compromising Databricks-native governance or performance.

New capabilities include:

• Real-Time Data Streaming to Databricks Uniform Tables via CDC: Qlik Replicate^® now streams continuous CDC from enterprise data sources directly into Unity Catalog’s managed Iceberg tables, enabling low-latency ingestion that supports strict business SLAs for both Delta and Iceberg formats.
• Adaptive Iceberg Optimization: As data is ingested into Apache Iceberg tables by Qlik Talend Cloud^®, Qlik Open Lakehouse’s fully automated optimizer will intelligently handle compactions, partitioning, and pruning, reducing storage footprint and delivering faster queries. Optimized Iceberg tables will be queryable via Databricks Photon or any Iceberg-compatible engine with consistently low-latency performance.
• High-Quality, AI-Ready Data Products: Enables data teams to build governed Data Products and push down data quality computation for Databricks assets—including Delta Live Tables—ensuring products remain trusted, accurate, and ready for AI use cases.
• Spark-Aware Studio Roadmap Enhancements: Qlik will soon introduce new developer-focused capabilities including schema inference, Databricks notebook import, and native Spark debugging—empowering teams to manage governed, self-service data pipelines within their existing Databricks workflows.

“Databricks customers continue to push the boundaries of what’s possible with open data formats and AI,” said Ariel Amster, Director, Strategic Technology Partners at Databricks. “By delivering real-time change data capture into UniForm tables and its native integration with Mosaic AI, Qlik is helping our joint customers simplify and accelerate innovation on the Databricks Data Intelligence Platform.”

“From ingestion to insight, Databricks customers are demanding more speed, flexibility, and trust across their data estate,” said David Zember, Senior Vice President of Worldwide Channels and Alliances at Qlik. “These new capabilities allow teams to do more with their Databricks investment—especially around governance, interoperability, and AI readiness.”

The new capabilities—including Uniform table CDC and Iceberg optimization—are now available in private preview. Qlik’s planned Open Lakehouse integration for Databricks is under development with timing to be announced. To learn more, request early access, or see a demo, visit Qlik at booth #521 during Databricks Data + AI Summit or visit our website.

About Qlik

Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.

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