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Qlik Joins Snowflake's Open Semantic Interchange Initiative


Qlik Joins Snowflake's Open Semantic Interchange Initiative
  • by: Source Logo
  • |
  • January 27, 2026

Qlik has announced its participation in the Open Semantic Interchange (OSI), an open-source initiative spearheaded by Snowflake to create a universal, vendor-neutral specification for semantic data models. This collaboration aims to solve the challenge of fragmented data definitions across tools, enabling consistent metrics and business logic to flow seamlessly between business intelligence platforms, AI models, and data products.

Quick Intel

  • Qlik joins Snowflake's Open Semantic Interchange (OSI) initiative for data and AI interoperability.

  • OSI is an open-source project to create a universal, vendor-neutral semantic model specification.

  • The goal is to standardize fragmented data definitions across BI, AI, and data engineering tools.

  • This will allow consistent metrics and business logic to be shared across dashboards, notebooks, and ML models.

  • The initiative aims to reduce complexity, accelerate AI/BI adoption, and fuel data product innovation.

  • Industry analysts highlight it as a critical step for semantic metadata portability in heterogeneous environments.

Addressing Fragmentation with an Open Standard

The Open Semantic Interchange initiative tackles a core inefficiency in modern data ecosystems: inconsistent semantic definitions. As enterprises deploy numerous analytics and AI tools, metric drift and conflicting business logic create operational friction and governance challenges. OSI proposes a common, open specification for semantic metadata, designed to be shared and understood universally across different platforms. This vendor-agnostic approach aims to break down silos and ensure that a "customer," "revenue," or any key metric is defined consistently everywhere it is used.

Enabling Consistency Across the Analytics and AI Stack

For organizations, the promise of OSI is the ability to apply governed business definitions uniformly. This means that metrics calculated in a Qlik dashboard, a Snowflake notebook, or a machine learning model would originate from the same semantic source of truth. This interoperability is positioned as essential for streamlining operations, reducing the cost and complexity of managing disparate semantics, and building trustworthy, shareable data products that can reliably fuel AI applications.

A Collaborative Ecosystem Effort

OSI is presented as a community-driven, transparent standard, developed in partnership with leaders across BI, data governance, data engineering, AI, and vertical industries. Qlik's participation, alongside Snowflake and other ecosystem partners, underscores a commitment to open architectures and customer flexibility. By contributing to the specification, Qlik ensures its customers can leverage their semantic investments across a broader toolset, protecting existing analytics assets while enabling future innovation.

Foundational for Future-Ready Data Infrastructure

Industry analysis supports the initiative's necessity, noting that portable semantic metadata is key for enterprises operating in heterogeneous technology environments. The collaboration is framed as a foundational step to unlock the full potential of data and AI by creating a common semantic bedrock. This prepares organizations for the next generation of AI applications by ensuring data clarity and consistency, which are prerequisites for effective automation and advanced analytics.

Qlik's involvement in the Open Semantic Interchange signals a strategic move towards open data ecosystems and collaborative standardization. By working to establish a universal semantic layer, the initiative seeks to eliminate a significant barrier to efficient data utilization. If successful, it will empower organizations to derive more accurate insights, innovate faster with AI, and achieve greater agility by making their business logic truly portable and interoperable across the entire data landscape.

About Qlik

Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.

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