Reltio Cloud: Master Data Management Software
Reltio helps enterprise and mid-market companies unify fragmented data to support AI initiatives and business operations. It is designed for teams that need to manage complex data across multiple domains with fast delivery.
At a glance
- Category
- Browse Data & Analytics tools
- Best for
- Enterprise companies, Mid-market companies, Business leaders managing large-scale data silos, Technology leads implementing AI data foundations
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Creating 360-Degree Customer Views, Supporting Agentic AI Applications, Automating Data Governance, Supporting Data Quality for Analytics
- Integrations
- Salesforce, Snowflake, Google BigQuery, Databricks, MuleSoft
- Official website
- Visit reltio cloud official website
Reltio is a cloud-native SaaS platform for Master Data Management and context intelligence. It is designed to unify siloed data from across an organization into comprehensive profiles for use in real time operations and AI agents.
The software is intended for business and technology leaders in large-scale environments, including healthcare, financial services, manufacturing, and retail. It supports a semantic data layer that can be accessed by downstream systems in under 50 milliseconds.
Key capabilities include AI-driven entity resolution to create golden records and a library of prebuilt connectors to help with data ingestion. The platform also includes agents designed to automate data governance and stewardship workflows.
Buyers should confirm if the platform's enterprise-scale design aligns with their specific data volume and the complexity of their current data silos.
Key Features
AI-Driven Entity Resolution
Uses LLM-powered matching models to help unify core data across sources into golden records.
Real-Time Data Unification
Designed to deliver context-rich data to systems and users with latency under 50 milliseconds.
Low-Code/No-Code Integration
Includes over 1,000 prebuilt connectors to help ingest and share information across disparate data sources.
AgentFlow
Provides prebuilt agents designed to automate data governance and business workflows.
Multidomain MDM
Supports the management of various data domains to help turn siloed core data into high-quality assets.
Data Quality Monitoring
Includes tools to help curate and monitor data quality for analytics and operations.
Use Cases
Creating 360-Degree Customer Views
Unifying fragmented data from multiple sources to create a single, trusted view of a customer.
Supporting Agentic AI Applications
Providing a governed data foundation for autonomous AI agents to operate with business context.
Automating Data Governance
Using prebuilt agents to help manage tasks such as match resolution and workflow management.
Supporting Data Quality for Analytics
Monitoring and cleansing data to provide feeds to cloud data warehouses.
Best For
- Enterprise companies
- Mid-market companies
- Business leaders managing large-scale data silos
- Technology leads implementing AI data foundations
Integrations
- Salesforce
- Snowflake
- Google BigQuery
- Databricks
- MuleSoft
- SnapLogic
- D&B
- Moody's
- ZoomInfo
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
What is Reltio Cloud used for?
- Reltio is used to unify fragmented data from various sources into a single, trusted golden record to provide a 360-degree view of business entities.
Who is Reltio Cloud best for?
- It is primarily designed for enterprise and mid-market companies, particularly in sectors like healthcare, financial services, and manufacturing.
Does Reltio support data integration?
- Yes, it provides a low-code/no-code environment with over 1,000 prebuilt connectors to integrate with various business applications and data sources.
Source category: Data & Analytics
Source subcategory: Data Management
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Categories
Software Type
How AI is used
Reltio Cloud is an enterprise Master Data Management (MDM) platform that unifies siloed data into real time 360-degree views. It is designed for mid-market and large companies to provide a data foundation for AI agents and business operations.
Pros & Cons
Pros
- Data delivery under 50ms
- Library of over 1,000 prebuilt connectors
- Cloud-native SaaS architecture
- AI-powered matching for record deduplication
Cons
- Designed for enterprise and mid-market firms, which may be too complex for very small businesses
- Utility depends on the quality of the source data being ingested
- Pricing is not publicly listed
