Archives

Qlik Acquires Upsolver to Enhance Real-Time Data Ingestion and Apache Iceberg Optimization

Qlik

New Acquisition Expands Qlik’s End-to-End Data Integration Platform, Delivering Low-Latency Ingestion, Optimization, and Cost Efficiency for Open Lakehouses

Qlik®, a global leader in data integration, quality, analytics, and AI, has announced the acquisition of Upsolver, a leader in real-time data streaming and optimization for Apache Iceberg. This strategic acquisition enhances Qlik’s ability to offer scalable, open data solutions that seamlessly integrate data ingestion, analytics, and AI capabilities under one unified platform. By combining Upsolver’s real-time data streaming and Apache Iceberg optimization with Qlik’s comprehensive data suite, businesses can now access data more quickly, optimize their data ecosystems, reduce costs, and unlock powerful AI-driven insights.

This acquisition strengthens Qlik’s position in the rapidly growing market for open data lakehouses, a growing trend driven by the need for high performance, flexibility, and scalability in enterprise data management. Apache Iceberg, a cutting-edge open table format, enables organizations to manage large datasets and run high-performance analytics while seamlessly integrating with various data processing engines. By integrating Upsolver’s real-time ingestion and optimization technologies, Qlik delivers a unified platform that enhances speed, lowers infrastructure costs, and empowers businesses to scale analytics and AI initiatives with open, trusted, and governed data.

Key Benefits of the Acquisition:

  • Real-Time Insights: Leverage continuous ingestion from real-time data streams, including Kafka and Kinesis, to accelerate decision-making and AI workflows.
  • Unified Data Ecosystem: Simplify data management with a single platform to ingest, transform, manage, optimize, and govern Iceberg-based open lakehouses.
  • Cost Optimization: Cut infrastructure costs with Upsolver’s Adaptive Iceberg Optimizer, improving query performance by up to 5x through automated, table-specific optimizations.
  • Open and Interoperable: Operate flexibly with a variety of tools and engines such as Snowflake, Databricks, and Athena by using the open Iceberg table format.

“Upsolver’s expertise in real-time streaming and Iceberg optimization allows us to build on Qlik’s enterprise solutions and deliver even more value to our customers,” said James Fisher, Chief Strategy Officer at Qlik. “We are also excited to welcome Upsolver’s talented team to Qlik, enhancing our commitment to providing open, scalable data solutions that simplify complexity and foster innovation in data integration, analytics, and AI.”

Also Read: Agile Data Engine Achieves Built on Databricks Partner Status 

“The integration of Qlik and Upsolver reflects the growing importance of open, real-time data architectures in the enterprise landscape,” said Stewart Bond, Vice President of Data Intelligence and Integration Software Research at IDC. “This acquisition positions Qlik to meet the demands for scalability and interoperability, enabling organizations to fully leverage data-intensive workloads such as AI and machine learning, all while maintaining control over costs and governance.”

“Both Upsolver and Qlik share a mission to simplify data management and empower organizations to unlock their data’s full potential,” said Ori Rafael, CEO of Upsolver. “This partnership is powerful because it combines our real-time data ingestion and Iceberg optimization capabilities with Qlik’s comprehensive data platform. Together, we offer a solution that enables businesses to scale confidently, optimize costs, and drive AI innovation with secure, governed data.”

The acquisition of Upsolver reinforces Qlik’s ability to meet the increasing demand for open, real-time data solutions in modern enterprises. Integrating Upsolver’s real-time ingestion and Iceberg optimization expertise with Qlik’s data platform equips businesses with the tools they need to streamline data management, improve operational efficiency, and scale their AI and analytics strategies with ease.