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This Tech Field Day session explores Qlik's Open Lakehouse initiative, resulting from their Upsolver acquisition. Dive into how Qlik leverages Apache Iceberg's open table format to help enterprises transition from traditional data warehouses to flexible data lakehouses. Learn how this approach enables organizations to eliminate redundant storage costs by writing directly to cost-efficient object storage like Amazon S3, while allowing the decoupling of compute from storage to use multiple analytics engines on a unified data layer. Discover how Qlik Open Lakehouse, now integrated into the Talend Cloud platform, delivers high-throughput ingestion, real-time processing, and automatic optimization of Iceberg tables with features like adaptive file compaction and dynamic partitioning. See benchmark results showing Iceberg tables managed by Upsolver achieving query performance comparable to native Snowflake storage while offering up to 2x improvement in storage efficiency. The presentation covers integration capabilities supporting ingestion from hundreds of sources, optimizer services for Iceberg, and compatibility with various query engines across platforms. The roadmap discussion includes upcoming features like streaming ingestion, additional cloud provider support, and advanced transformation tooling, concluding with a demonstration of building data pipelines into Iceberg via Qlik Talend Cloud. Presented by Ori Rafael, Vijay Raja, and Antoine Richard from Qlik at Qlik Connect 2025 in Orlando, Florida.
