Qlik Open Lakehouse is now generally available

"Qlik is making Open Lakehouse generally available. The Apache Iceberg service promises real-time pipelines and automatic optimization without vendor lock-in. The solution combines change data capture (CDC) with automatic Iceberg optimization. Teams can continue to use their existing tools, including Amazon Athena, Snowflake, Spark, Trino, and Amazon SageMaker. During the preview phase, customers reported faster queries and significantly lower infrastructure costs. Qlik Open Lakehouse is now available to all Talend Cloud users."

"CEO Mike Capone argues that AI stalls when data is slow, fragmented, and expensive. "Qlik Open Lakehouse fixes that by giving teams a real-time, Iceberg-based foundation they can run in their cloud at enterprise scale and query with the engines they already use." Multi-engine access from day one Automatic Iceberg optimization provides compacting, partitioning, and metadata maintenance. This improves query performance and reduces the storage footprint."

Qlik Open Lakehouse provides an Apache Iceberg-based lakehouse that combines change data capture (CDC) with automatic Iceberg optimization to enable real-time pipelines and improved query performance. The service runs in the customer’s own cloud using a bring-your-own-compute model, giving organizations control over security, performance, and costs. Built-in data quality, lineage, cataloging, and FinOps observability keep tables accurate and manageable. Direct support for multiple query engines lets teams query the same Iceberg tables from Amazon Athena, Snowflake, Spark, Trino, Qlik, and ML services like Amazon SageMaker without creating extra copies. Preview customers reported faster queries and lower infrastructure costs.

Read at Techzine Global