What is the story about?
What's Happening?
Qlik, a leader in data integration and analytics, has announced the general availability of Qlik Open Lakehouse, a fully managed Apache Iceberg service within Qlik Talend Cloud. This service provides real-time data pipelines, automated Iceberg optimization, and multi-engine access without lock-in, creating an AI-ready data foundation. Deployed in the customer's cloud account, Qlik Open Lakehouse integrates change data capture ingestion with automatic Iceberg optimization, allowing teams to use existing tools like Amazon Athena, Snowflake, and Amazon SageMaker for machine learning. Customers have reported faster queries and lower infrastructure costs by shifting workloads from proprietary warehouses to open, optimized Iceberg tables.
Why It's Important?
The availability of Qlik Open Lakehouse addresses common challenges in AI and data analytics, such as slow, fragmented, and expensive data. By providing a real-time, Iceberg-based foundation, Qlik enables faster decision-making and improved model performance, reducing costs and enhancing governance. This service supports enterprises in adopting open table formats, optimizing data in real-time, and integrating with various cloud tools, offering flexibility and efficiency. The ability to handle large data volumes quickly and work with different tools in the cloud positions Qlik as a strong platform for AI and analytics, potentially transforming enterprise data management strategies.
What's Next?
Qlik Open Lakehouse is now available for Qlik Talend Cloud customers, including support for Amazon Athena. The service is designed to enhance model training and inference on Iceberg data through standard AWS patterns. Qlik plans additional ecosystem updates for Q4 2025, which may further expand its capabilities and integration options. Enterprises adopting this service can expect improved data management, cost control, and performance, potentially leading to more efficient and effective AI and analytics operations.
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