Reltio Launches Zero-Copy Integration with Microsoft Fabric for Real-Time AI and Analytics

Reltio Launches Zero-Copy Integration with Microsoft Fabric to Revolutionize Real-Time Data for AI and Analytics

In a groundbreaking move set to transform the data management landscape, Reltio®, a leader in AI-powered data unification and management, has announced its Zero Copy Integration with Microsoft Fabric. This innovative integration allows Reltio Data Cloud™ on Azure to seamlessly store, manage, and share data within Microsoft Fabric’s OneLake, empowering organizations to leverage high-quality, comprehensive data for analytics and AI without the need for data movement or replication. By eliminating costly and time-consuming processes like ETL (Extract, Transform, Load) and data duplication, this solution saves organizations both time and money while enhancing efficiency, scalability, and security.

As a trusted data foundation for many global enterprises, Reltio has long been synonymous with consistency, accuracy, and governance of critical business data. Its enterprise-grade SaaS platform ensures that core data—such as customer, product, supplier information, reference data, relationships, and interaction data—is unified and governed across all systems. With the new integration, Reltio extends its capabilities by fueling Microsoft Fabric, an end-to-end analytics platform, with reliable and real-time data required for advanced analytics, AI/ML models, and business intelligence.

Why This Integration Matters for Modern Enterprises

Microsoft Fabric is designed to unify the entire analytics ecosystem, enabling teams using tools like Power BI, Fabric Data Warehouse, and Data Engineering to manage, interpret, and act on data insights effectively. However, traditional methods of moving and replicating data often introduce delays, inconsistencies, and security risks, which can hinder decision-making and increase operational costs.

The Reltio Zero Copy Integration addresses these challenges head-on by leveraging Fabric OneLake and Fabric External Data Share. This approach enables users to securely access the same dataset without replication or the need to write complex ETL code. By keeping data in its original location, organizations can now achieve faster, more cost-effective, and secure access to trusted, analytics-ready data.

“Integrating Reltio Data Cloud with Microsoft Fabric through zero-copy data sharing eliminates the potential delays, security risks, inconsistencies, and costs associated with copying and moving data to a cloud data warehouse,” said Ansh Kanwar, EVP of Product, Technology, and Strategy at Reltio. “With this integrated solution, we are ensuring that customers with cloud-based architectures can have a more efficient, scalable, and secure method of access to timely, high-quality, trusted data for AI/ML and analytics to drive better business outcomes.”

Key Benefits of Reltio Zero Copy Integration with Microsoft Fabric

  1. Trusted, Timely Analytics and AI Insights
    Reltio provides Microsoft Fabric with reliable 360-degree views of customer and other core data in near real-time. This includes relationships, transactions, interactions, and calculated attributes, enabling enterprise-wide use cases that maximize impact—from data engineering to business intelligence and comprehensive analytics.
  2. Cost-Effective, Reliable Data Access
    The integration delivers clean, accurate, and analytics-ready data to OneLake with low latency, eliminating the need to duplicate or move data. As a cloud-native SaaS platform on Azure, Reltio ensures high availability and scalability for time-sensitive operational analytics and beyond.
  3. Unified Data Governance and Security
    By governing data in one place, Reltio strengthens Microsoft Fabric’s enterprise-grade security, data integrity, and regulatory compliance. The integration also enhances trust and transparency by providing data lineage via Reltio’s prebuilt integration with Microsoft Purview.

A Game-Changer for Joint Users

The synergy between Reltio’s data unification capabilities and Microsoft Fabric’s robust analytics tools creates a powerful advantage for joint users. Organizations can now rapidly explore, organize, visualize, analyze, and act on clean, timely, and rich data from Reltio Data Cloud via any of the Fabric engines, including databases, data engineering, Power BI, data warehousing, and real-time analytics—all without moving any data.

“Combining Reltio’s data unification, cloud-native SaaS platform on Azure with the powerful end-to-end analytics in Microsoft Fabric is a tremendous advantage for our joint users,” said Dipti Borkar, VP & GM of Fabric at Microsoft. “Now enterprises can unlock the full potential of their data with speed, accuracy, and confidence, driving smarter decisions and better business outcomes.”

What’s Next for Reltio and Microsoft Fabric?

The Reltio Zero Copy Integration with Microsoft Fabric is slated for release soon. In the meantime, interested organizations can explore Reltio’s offerings on the Microsoft Azure Marketplace. Additionally, attendees of the Microsoft Fabric Community Conference in Las Vegas from March 31st to April 2nd will have the opportunity to visit Reltio’s booth and attend a dedicated 1-hour technical session to learn more about this transformative integration.

Empower Your Data Strategy with Reltio and Microsoft Fabric

In today’s fast-paced digital landscape, businesses require real-time, high-quality data to fuel AI, analytics, and decision-making. The Reltio Zero Copy Integration with Microsoft Fabric delivers just that—a seamless, secure, and scalable solution that eliminates traditional data management bottlenecks.

By combining Reltio’s expertise in data unification and governance with Microsoft Fabric’s advanced analytics capabilities, organizations can unlock the true value of their data, driving innovation and competitive advantage.

To stay ahead of the curve, explore Reltio’s integration with Microsoft Fabric and discover how your organization can harness the power of real-time data for AI and analytics.

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