Qlik has 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 optimisation through Qlik Open Lakehouse, and the creation of high-quality data products.
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 Optimisation: As data is ingested into Apache Iceberg tables by Qlik Talend Cloud, Qlik Open Lakehouse’s fully automated optimiser will intelligently handle compactions, partitioning, and pruning, reducing storage footprint and delivering faster queries. Optimised 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.