Datameer enables business users to transform and prepare data in Snowflake through an intuitive, no-code interface, democratizing data engineering while maintaining enterprise governance and leveraging native Snowflake performance.
Last updated Apr 12, 2026 by AI Enrichment
Specialized Snowflake-native data transformation platform operating as a Qlik subsidiary
Datameer operates as a data transformation and analytics platform specifically built for Snowflake's cloud data platform. The company provides a no-code/low-code solution that enables business analysts and data engineers to transform, model, and catalog data directly within Snowflake environments. Datameer's platform emphasizes collaborative data preparation and self-service analytics, allowing users to build data pipelines and perform complex transformations through a visual interface while leveraging Snowflake's compute and storage capabilities. In 2020, Datameer was acquired by Qlik, a major data integration and analytics company, and now operates as a subsidiary within Qlik's portfolio. Despite the acquisition, Datameer continues to maintain its distinct brand and product offering, focusing specifically on the Snowflake ecosystem. The platform serves as a complementary solution within Qlik's broader data integration and analytics suite, targeting organizations that have standardized on Snowflake for their cloud data warehousing needs. Datameer's position in the market centers on bridging the gap between traditional BI tools and modern cloud data platforms, making data transformation accessible to business users while maintaining the governance and scalability requirements of enterprise data teams. The company's Snowflake-native approach differentiates it from general-purpose ETL and data preparation tools.
Cloud-based data transformation platform for Snowflake with visual data pipeline building and collaborative features
Automated data cataloging and documentation capabilities for Snowflake data assets
Tools enabling collaboration between business analysts, data engineers, and data scientists on data transformation projects