Qlik introduces enhanced integrations with SAP, Databricks and Snowflake to create greater AI value

Qlik's expanded capabilities strengthen connectivity between SAP, Databricks and Snowflake, supporting businesses to implement artificial intelligence (AI) solutions for more immediate and actionable insights.

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 in SAP, Databricks and SnowflakeThese advancements enable businesses 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 drive AI integration deeper into their businesses, the demand for robust, seamless data management across platforms has never been greater. Businesses need reliable data pipelines that can handle the complexity and volume of data required to power effective AI models. Qlik’s latest updates address these needs head-on and reduce the barriers to AI adoption by simplifying data connections across industry-leading platforms.

“Businesses 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 businesses to get their data AI-ready, whether they are using 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 are providing the reliable, real-time data environment that businesses need to innovate with confidence.”

New features include:

• Extended SAP OData support: Improved integration with SAP Rise and SAP Cloud, facilitating smoother cloud migration 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, enabling faster and more accurate deployments.
• Real-time data connections for Snowflake: New integration improvements that accelerate the distribution of AI insights within the Snowflake ecosystem, optimize performance, and support faster decision-making.

These updates represent a significant step in Qlik’s ongoing mission to enable businesses to achieve tangible AI outcomes. In addition to 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 analysis and ultimately to AI-driven decision-making.

Qlik's latest capabilities demonstrate its commitment to supporting business at every step of their AI journey, from preparing data to implementing insights that drive innovation and operational agility. When business navigating the complex landscape of AI customization, Qlik's focus on data integrity, flexibility, and availability gives them a competitive advantage.