Your Fast Track to an Open, Cost-Effective Lakehouse
Enterprises spend 30-50% of their annual data warehouse budget on ingestion alone, before a single query delivers value.
In this webinar, Jason Hall, Field CTO for Data Integration, shows how Qlik Open Lakehouse, a fully managed, open Apache Iceberg lakehouse running inside your own environment, can lower ingestion compute costs by up to 70%. You'll see how teams stream millions of events per second into Iceberg, keep tables optimized automatically, and reach data in Snowflake and other warehouses without duplication.
Whether you're trying to control warehouse spend, reduce ingestion complexity, or adopt open table formats without rebuilding your pipelines, this session shows a practical path forward.
You'll learn how:
- Streaming ingestion reaches millions of events per second without a data warehouse required
- An always-on Adaptive Optimizer removes manual table maintenance
- Iceberg data can be mirrored into Snowflake and other warehouses with zero duplication
- Existing Qlik Replicate® pipelines can point at Open Lakehouse without migrating
- Lineage, quality, and Qlik Trust Score® extend across Iceberg and warehouse data alike
- Check what you need to get started: storage, compute, and a supported catalog
