The top four reasons why cloud data warehouses need Reltio for agentic AI
Cloud data warehouses (CDWs) and data lakes (DLs) are the backbone of enterprise analytics and AI—designed to collect and store massive volumes of data. But scale alone isn’t enough, considering the growing number of data silos in an enterprise. For AI to deliver real impact, especially agentic AI, what’s needed is unification and contextualization. And that’s where these platforms fall short. They collect data—but they don’t unify core business entities or provide the real-time and trusted context AI needs to act with precision.
Take a manufacturing company, for example. Even after centralizing CRM, ERP, customer service, and third-party data in a cloud data warehouse, it may still contain duplicate customer accounts, outdated contact information, or missing links between subsidiaries and parent organizations. These inconsistencies make it difficult to identify active customers, key decision-makers, or cross-sell opportunities. As a result, teams spend time manually reconciling data, miss important sales opportunities, and risk inaccurate reporting that leads to poor strategic decisions.
That’s where Reltio comes in.
Reltio Data Cloud™: trusted data, real-time context
Reltio Data Cloud continuously ingests, unifies, cleanses, standardizes, and enriches critical business data from across systems into clean, real-time profiles that include relationships, interactions, and unstructured data, such as files and images. These 360° profiles are instantly mobilized operational systems, across cloud data warehouses, and AI agents—enabling every decision, prediction, and process to operate on reliable, context-rich data.
By filling the unification and contextualization gap left by cloud data warehouses and data lakes, Reltio transforms disconnected datasets into a dynamic foundation for intelligent execution. Here are the four critical gaps in cloud data warehouses and data lakes that Reltio Data Cloud addresses:
- Embedded and ongoing entity resolution, data quality, and governance
CDWs and DLs weren’t designed for data unification or ongoing data quality management. They lack native entity resolution, so teams must build custom ML pipelines or integrate third-party tools just to match and merge duplicate records, adding cost, complexity, and security risk. Even when data is cleansed during ETL pipelines before loading, data quality deteriorates over time. Without continuous monitoring and cleansing, as well as built-in correction workflows, errors often go undetected, undermining trust in the insights. Governance is also limited. While some platforms include data cataloging, they typically don’t provide the data stewardship tools, workflows, and UI to remediate possible matches, merge duplicates, manage data conflicts, or unmerge when needed. The absence of policy enforcement, lineage tracking, and auditability makes it difficult to answer compliance questions or enforce governance standards.
Reltio eliminates these challenges through built-in entity resolution, continuous data quality management, and native data governance.. Its entity resolution engine utilizes configurable rules and large language models with semantic understanding to unify records, even when fields are incomplete, inconsistent, or contain typos. AI-driven monitoring, built-in validation, and remediation workflows keep data accurate and reliable over time, while dashboards and Reltio’s AI agents help teams quickly detect and resolve issues. Data lineage, audit trails, and policy enforcement are built in, and seamless integration with enterprise governance tools enable compliance, transparency, and trust. With Reltio, unified, high-quality, governed data is delivered in real-time to CDWs, DLs, and operational systems—fueling confident insights and AI innovation.
- Real-time 360° views with relationship intelligence
Building 360° views in cloud data platforms demands complex ETL and fragile joins. Every time a new data source is added or a schema changes, teams must rewrite transformation logic, rebuild joins, or reprocess large volumes of data, making updates costly and prone to errors. The outcome is that 360° views quickly become outdated snapshots rather than real-time representations of customers or business entities. Over time, the model becomes brittle, hard to govern, and difficult to scale as data grows or business needs evolve.
Reltio Data Cloud provides the critical system of context, including relationship intelligence, for agentic workflows
Reltio delivers always-on, 360° profiles across all data domains through continuous data quality validation, monitoring, and Reltio Intelligent Data Graph, which captures and updates cross-domain relationships in real time. These unique, rich profiles are continuously enriched and connected, which allows teams to deliver accurate insights easily. Financial institutions, for example, use Reltio to integrate customer, account, transaction, credit history, and onboarding status data, delivering a consistent 360-degree view of the customer to every system. This contextual data is also delivered in real time to CDWs/DLs for applications such as fraud detection, personalization, or other advanced analytics.
- Designed for real-time operational workloads
CDWs and DLs can stream and share data across systems in near real time, but they still rely heavily on batch-based processing to prepare data. While ingestion and delivery pipelines may operate quickly, most data quality, transformation, and validation steps are manually coded and executed in scheduled batches. This approach introduces delays and degrades data freshness between loads. As a result, the data available for analytics or AI agents is often hours or even days out of sync with real-world events. Due to these limitations, CDWs and DLs struggle to deliver the clean, current data needed for agentic AI and time-sensitive business decisions.
Reltio overcomes these data freshness challenges with continuous, low-latency data integration, unification, and governance. It continuously ingests, cleanses, standardizes, enriches, and shares trusted, context-rich data in real time with operational systems, AI agents, and analytical environments. Through streaming APIs and zero-copy data sharing (e.g., Reltio Data Sharing with Databricks and Microsoft Fabric, and Reltio Zero-Copy Integration from Snowflake), Reltio ensures that high-quality, governed data flows instantly into CDWs and DLs. The Reltio Lightspeed™ Data Delivery Network powers sub-50-millisecond data access for mission-critical operations. Built-in governance, consent management, and compliance controls maintain trust and regulatory alignment as data changes. The result is a continuously governed, always-on data foundation—delivering accurate, auditable, and AI-ready information in real-time to operational, AI, and CDW/DL systems, wherever and whenever they need it.
Reltio Data Cloud fuels operational and analytical use cases with continuous ingestion, unification, and delivery in milliseconds
- Data model agility
CDWs contain rigid schemas optimized for SQL, making it hard to represent complex, evolving relationships. In insurance, for instance, modeling relationships among policyholders, brokers, claims, and underwriters often requires manual joins or duplicating information across tables just to connect these entities. This slows analytics and makes it hard to maintain a single, consistent view of relationships between entities as data changes.
Reltio eliminates these limitations with a schema-flexible, graph-based model. It supports dynamic, many-to-many relationships across entities. It also provides agility and responsiveness by allowing new attributes or connections to be added without requiring schema redesign. The result: continuously updated, context-rich profiles—delivered in real time to operational systems, AI agents, and CDWs/DLs.
Better together: a modern data architecture
By combining the scalability of CDWs/DLs with the trusted context and agility of Reltio Data Cloud, organizations gain greater operational and analytical value from their existing data warehouse/lake investments. Reltio complements CDWs/DLs by continuously delivering high-quality, governed, and context-rich data to them through data pipelines and zero-copy sharing, enabling them to operate at full analytical speed and scale without being burdened by data quality or governance gaps. The result is a modern, compliant, and always-on data ecosystem where CDWs/DLs operate on trusted, auditable information—fueling insights, accelerating decisions, and driving real business impact.
