Qlik Acquires Mozaic to Offer Enhanced Business Value Through a Data Product Catalog Experience

Qlik, a provider of data integration and analytics, is acquiring Mozaic Data (Mozaic), an innovative AI-driven data management technology, marking an advancement in simplifying data handling for businesses, focusing on a data product-oriented approach for better data quality and governance.

According to Qlik, integrating Mozaic into Qlik's portfolio brings a transformative approach to managing data as a product.

This acquisition is set to accelerate data deployment and utilization across enterprises, especially in cloud platforms like Amazon Redshift, Databricks, Google BigQuery, Microsoft Fabric, and Snowflake.

With this acquisition, Qlik reinforces its commitment to providing end-to-end data solutions, seamlessly integrating Mozaic’s technology to enhance the overall data consumption experience for businesses, according to the company.

Sharad Kumar, founder of Mozaic, joins Qlik as the Regional Head of Data Integration and Quality. His expertise will further enhance Qlik's innovative capabilities, aiming to develop a next-generation Data Product Catalog solution and allowing customers to extract more value from their data quickly and effectively.

"The acquisition of Mozaic and Sharad's expertise is a pivotal step in reshaping the data landscape and is a significant contribution to our ongoing work for 2024,” said Drew Clarke, general manager, data business unit at Qlik. “Customers recognize the importance of treating data as a product—a strategy that aligns with the need for a SaaS-based Data Product Catalog, offering a more efficient and user-friendly experience in data lifecycle management, while also reinforcing a solid foundation for AI-driven data management."

Mozaic’s innovative Data Product Experience approach is designed following the principles of decentralized architecture. Mozaic enabled organizations to build, secure, govern, deploy, and manage domain-centric data products in the cloud. These data products can be discovered through a data product marketplace, and accessed through a broad spectrum of consumption patterns, enabling diverse business use cases.

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