SAN FRANSISCO, CALIFIORNIA: Qlik^®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced at Snowflake’s annual user conference, Snowflake Summit 2025, that it has been named the 2025 Data Integration Data Cloud Product Partner of the Year award winner by Snowflake, the AI Data Cloud company.

Qlik was recognized for its achievements in helping joint customers accelerate trusted, AI-ready data pipelines on the Snowflake platform. Through innovations like native support for Snowflake-managed Iceberg tables and the introduction of the Qlik Open Lakehouse architecture, Qlik empowers enterprises to scale high-volume ingestion, optimize cost and performance, and unlock greater value from SAP and other enterprise data sources.

“This award is a reflection of how well-aligned Qlik and Snowflake are in delivering modern, trusted, and governed data engineering at scale,” said David Zember, Senior Vice President of Worldwide Channels and Alliances at Qlik. “We’re proud to help customers harness more value from their SAP and operational data through faster pipelines, Iceberg optimization, and SAP data products tailored for Snowflake environments. Together, we’re redefining what’s possible with AI-ready architecture.”

“The integration between Qlik and Snowflake has transformed how we manage and operationalize data,” said Michael Benassi, Vice President of Enterprise Analytics at United Federal Credit Union. “With near real-time ingestion and streamlined engineering pipelines, we’re able to scale insights across the business and support faster, more trusted AI initiatives.”

“The transformative results Qlik has achieved for our joint customers exemplify innovation in action,” said Kieran Kennedy, Global Leader for Data Cloud Product Partners, Snowflake. “Naming them as our 2025 Data Engineering Partner of the Year is not just recognition of their technical excellence, but of their vital role in shaping how modern enterprises harness the AI Data Cloud.”

Learn more about Qlik’s data engineering and Open Lakehouse solutions for Snowflake. Check out keynotes from Snowflake Summit 2025 live or on-demand here 

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BENGALURU:  Qlik^®, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the expansion of its AI-ready data integration capabilities, delivering new enhancements across SAP, Databricks, and Snowflake. These advancements empower enterprises to streamline data workflows, accelerate AI deployment, and gain faster insights, ensuring that business intelligence is built and scaled on quality, real-time data running on Amazon Web Services (AWS).

As organizations continue to push AI integration deeper into their operations, the demand for robust, seamless data management across platforms has never been greater. Companies need reliable data pipelines that can handle the complexity and volume of data required to fuel effective AI models. Qlik’s latest updates directly address these needs, reducing barriers to AI adoption by simplifying data connections across industry-leading platforms.

“Enterprises know that to truly leverage AI, they need high-quality, accessible data. Our latest enhancements build on Qlik’s strong integration foundation, making it easier for companies to get their data AI-ready, whether they are utilizing SAP systems, Databricks, or Snowflake,” said Drew Clarke, Executive Vice President and General Manager of Qlik’s Data Business Unit. “With these new capabilities, we’re providing the reliable, real-time data environment businesses need to innovate with confidence.”

New Capabilities Include:

• Expanded SAP OData Support: Enhanced integration with SAP Rise and SAP Cloud, facilitating smoother cloud migrations and enabling better data extraction for richer insights and improved operational efficiency.
• AI-Ready Components for Databricks: Improved connectivity to seamlessly link real-time data with advanced AI models, allowing for faster and more precise deployments.
• Real-Time Data Connections for Snowflake: New integration enhancements that accelerate the deployment of AI insights within the Snowflake ecosystem, optimizing performance and supporting faster decision-making.

These updates represent an important step in Qlik’s ongoing mission to allow enterprises to achieve tangible AI outcomes. Beyond integration, Qlik’s platform offers a comprehensive AI value chain, including advanced analytics capabilities like Qlik Answers, which transform unstructured data into actionable insights. By providing a robust, end-to-end solution, Qlik ensures that organizations can seamlessly move from data collection to analytics, and finally to AI-driven decision-making.

Qlik’s latest capabilities demonstrate its commitment to supporting businesses at every stage of their AI journey, from preparing data to deploying insights that drive innovation and operational agility. As companies navigate the complex landscape of AI adoption, Qlik’s focus on data integrity, flexibility, and accessibility gives them a competitive edge. To learn more, please book a time to connect with the Qlik team at AWS re:Invent December 2-6, 2024 in Las Vegas.

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