Upsolver develops high-performance data streaming software that supports the Apache Iceberg data table format.
Qlik has acquired Upsolver, a developer of real-time streaming and Apache Iceberg optimization technology, in a move that expands the data integration and ingestion capabilities of the Qlik platform.
The acquisition provides Qlik, a leading player in the market for data analytics and integration software and cloud services, with a stronger hand in marketing its offerings for data lakehouse systems based on the Apache Iceberg table format.
“With Upsolver’s real-time streaming capabilities and advanced Iceberg optimization, we’re building on Qlik’s proven enterprise solutions to drive even greater value for our customers,” said James Fisher, Qlik chief strategy officer, in a statement.
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Qlik, a long-time player in the business intelligence and data analytics market, has been steadily expanding its technology portfolio in data integration, data transformation and data governance through acquisitions such as its May 2023 purchase of Talend and May 2019 acquisition of Attunity.
More broadly, Qlik’s aggressive acquisition strategy has extended beyond data integration and transformation, including buying machine learning tech provider Big Squid in September 2021, data product catalog software developer Mozaic in December 2023, and the intellectual property of natural language/search company Kyndi in January 2024.
Upsolver develops data ingestion technology for data lakes using the open-source Apache Iceberg table format. Iceberg is used to organize huge data sets within data lake systems, streamlining data management and data processing for analytical tasks.
Qlik said that by integrating Upsolver’s expertise in Iceberg optimization and streaming data with the Qlik platform, businesses can simplify data management, enhance operational efficiency, and scale their AI-driven strategies.
“The integration of Qlik and Upsolver highlights the growing importance of open, real-time data architectures in today’s enterprise landscape,” said Stewart Bond, vice president of data intelligence and integration software research at IDC., in a statement. “This move positions Qlik to deliver solutions that meet the dual demands for scalability and interoperability, helping organizations unlock the full potential of data-intensive workloads such as AI and machine learning while maintaining control over costs and governance.”
By integrating Upsolver’s capabilities in Iceberg optimization and streaming data with Qlik’s platform, businesses can assemble a unified data lakehouse ecosystem to simplify data management, enhance operational efficiency, and scale AI-driven strategies, according to the companies.
The addition of Upsolver to Qlik will enable businesses to generate real-time analytical insights from streaming data sources such as Kafka and Kinesis, cut infrastructure costs and improve interoperability with other data tools and platforms such as Snowflake, Databricks and Athena.
