Qlik’s expanded capabilities strengthen connections between SAP, Databricks and Snowflake, supporting businesses in deploying AI solutions for faster, 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 with new enhancements for SAP, Databricks and Snowflake. These advancements help organizations streamline data workflows, accelerate AI deployments and deliver faster insights, ensuring business intelligence is built and scaled on high-quality, real-time data running on Amazon Web Services (AWS).
As organizations drive AI deeper into operations, the need for robust, seamless data management across platforms has never been greater. Companies require reliable data pipelines capable of handling the complexity and scale of data needed to power effective AI models. Qlik’s latest updates address these requirements by simplifying data connections across leading platforms and reducing barriers to AI adoption.
“Organizations understand that to truly leverage AI they need high-quality, accessible data. Our recent enhancements build on Qlik’s strong integration foundation, making it easier for companies to get their data AI-ready whether they use SAP systems, Databricks or Snowflake,” said Drew Clarke, Executive Vice President and General Manager of Qlik’s Data business unit. “With these new features, we provide the reliable, real-time data environment businesses need to innovate with confidence.”
New features include:
- Expanded SAP OData support: Improved integration with SAP Rise and SAP Cloud facilitates smoother cloud migrations and enables richer data extraction for deeper insights and better operational efficiency.
- AI-ready components for Databricks: Enhanced connectivity to seamlessly link real-time data with advanced AI models, enabling faster and more accurate deployments.
- Real-time data connectivity for Snowflake: Integration improvements that speed the delivery of AI-driven insights within the Snowflake ecosystem, optimize performance and support quicker decision-making.
These updates represent an important step in Qlik’s ongoing mission to help companies achieve tangible AI outcomes. Beyond connectivity, Qlik’s platform delivers an end-to-end AI value chain with advanced analytics capabilities such as Qlik Answers™, which turns unstructured data into actionable insights. By offering a comprehensive solution from data ingestion through analysis to AI-driven decision-making, Qlik ensures organizations can move seamlessly from raw data to operational impact.
Qlik’s enhanced capabilities underscore its commitment to supporting businesses at every stage of their AI journey—from preparing data to operationalizing insights that drive innovation and operational agility. As companies navigate the complexity of AI adoption, Qlik’s focus on data integrity, flexibility and accessibility helps provide meaningful competitive advantages.