New capabilities, including real-time UniForm table streaming and Iceberg optimization, accelerate interoperability with Delta/Iceberg, trusted data products, and AI-ready pipelines for Mosaic AI
THE Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), announces a series of new capabilities for Databricks customers, integrated into the Databricks Data Intelligence Platform. Enhancements include real-time data streaming to UniForm tables from the Unity Catalog via change data capture (CDC), automated optimization of Apache Iceberg™ through Qlik Open Lakehouse, and the creation of high-quality data products.
These enhancements provide data teams with greater flexibility in open formats, improved operational performance with Delta and Iceberg data, and accelerate the path to trusted, AI-ready architectures without compromising native Databricks governance and performance.
New features include:
– Real-time data streaming to Databricks UniForm tables via CDC: Qlik Replicate® now performs continuous streaming of change data capture from enterprise data sources directly to Iceberg tables managed by the Unity Catalog, enabling low-latency ingestion that meets stringent 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 intelligently performs compression, partitioning, and cleansing, reducing storage usage and providing faster queries. Optimized Iceberg tables can be queried by Databricks Photon or any Iceberg-compatible engine with consistent, low-latency performance.
– High-quality, AI-ready data products: Enables data teams to develop governed data products and reduce data quality-related computation for Databricks assets, including Delta Live Tables—ensuring products remain reliable, accurate, and ready for AI use cases.
– Spark-Aware Studio roadmap improvements: 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 of Strategic Technology Partners at Databricks. “By providing change data capture With real-time AI for UniForm tables and its native integration with Mosaic AI, Qlik is helping our joint customers simplify and accelerate innovation in Databricks Data Intelligence Platform.”
“From ingestion to insights, Databricks customers are demanding more speed, flexibility, and confidence across their entire data estate,” said David Zember, Senior Vice President of Global Channels and Alliances at Qlik. “These new capabilities enable teams to do more with their Databricks investments, especially around governance, interoperability, and AI readiness.”
The new features—including CDC for UniForm tables and Iceberg optimization—are now available in private preview. The planned integration of Qlik Open Lakehouse with Databricks is in development. To learn more, request early access, or watch a demo, visit site.
Regarding the Qlik
THE Qlik Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving more than 40,000 global customers, the Qlik portfolio provides advanced enterprise-grade AI/ML, data integration, and analytics. Qlik’s practical and scalable AI/ML tools drive faster, better decisions. Qlik is the leader in data integration and governance, offering end-to-end solutions that work with diverse data sources. Qlik’s intuitive analytics uncover hidden patterns, empowering teams to tackle complex challenges and seize new opportunities. Qlik is a strategic partner, and its expertise and technology-agnostic platform make its customers more competitive. For more information, visit www.qlik.com/pt-br.
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