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Self-Learning Graph™ & Multi-Model Architecture

Infinite data attributes, relationships & possibilities

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Reltio Self-Learning Graph is Infinitely Scalable

The world we live in isn't just relational, so why should your data be stored that way? Reltio Self-Learning Graph™ is a columnar and graph hybrid store architected for today's agile enterprise. Unlike off-the-shelf graph databases, Reltio self-learning graph is infinitely scalable, handling master data management (MDM) and big data volumes with ease.

Like graphs that power the most popular consumer data-driven applications, such as LinkedIn (Economic Graph), Google (Knowledge Graph) and Facebook (Social Graph), Reltio Self-Learning Graph powers a new generation of data-driven applications for the enterprise. 

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A Multi-model Architecture for Modern Data Management

As a core part of Reltio Cloud, Reltio Self-Learning Graph works under the covers on your behalf to combine, relate and store an infinite number of attributes and relationships to rapidly deliver any type of data-driven application for any business need. 

Why didn't we use a popular off-the-shelf graph database like Neo4j?

Reltio Cloud is designed to handle the most complex, multi-domain master data management (MDM) challenges, but at the same time, effortlessly bring together transactional, interaction, social and machine-generated data at scale. Just like LinkedIn, Google and Facebook, we built our own Self-Learning Graph hybrid, marrying together our years of experience with databases to handle both operational and analytical functions within the same data-driven application. We cover every possible scenario, so you can have the ultimate flexibility to solve any business challenge.


 

Reltio Data-driven Applications harness the power of Self-Learning Graph

 
 

No schema restrictions

Free from the shackles of relational data modeling, foreign key definitions and the challenges of defining complex relationships, Reltio Self-Learning graph completely changes the paradigm by combining data together, without having to first design an application and data model. From master data management (MDM) to big data volumes, you are able to imagine your data from any perspective.

limitless, volume, variety, velocity & Veracity

It captures and automatically models a variety of structured and unstructured master, reference, transaction and activity data, without any volume restrictions. Reltio Self-Learning Graph continuously indexes all attributes so searches are lightning fast, and retains historical data changes for compliance, forever. 

Powering INDUSTRY-SPECIFIC Applications

Reltio Self-Learning Graph powers a range of industry-specific, data-driven applications. Simple configuration is all that is required to extend Reltio for any combination of attributes and relationships, relevant to your business. Why buy an off-the-shelf graph database, and then have to stitch together multiple technologies to create your own apps, when you can get it all within Reltio Cloud?


Featured Resources

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Analyst Reports
 
 

Reltio Named a Leader among Machine Learning Data Catalogs By Independent Research Firm

Report gives company highest possible scores for Machine Learning, Growth, Stewardship & Governance, Collaboration, Security and Planned Enhancements criteria.

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White Papers & Ebooks
 
 

TEN STEPS TO GDPR COMPLIANCE

Effective May 25, 2018, General Data Protection Regulation (GDPR) will represent the most rigorous data protection regulation ever. Complying is not optional, and the penalties are very high. As companies scurry for total compliance, it makes sense to pause, assess, and use this opportunity not only for compliance but for managing customer data efficiently and gainfully.

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Interactive Tools
 
 

ARE YOU READY TO MOVE TO MODERN DATA MANAGEMENT?

Get Estimated Operational Savings By Moving To Modern Data Management.

 
Videos & Webinars
 

MACHINE LEARNING PUTS DATA FRONT AND CENTER FOR BUSINESS

Machine learning is surrounded by fascination and awe. It can drive better personalized experiences with customers, increase workforce effectiveness, and de-risk your organization from security threats and regulations. But, machine learning needs quality data, relevant data, and better context surrounding transactions, interactions, operations and decisions. 

Articles
 
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Businesses Feeling the Heat of the 'Amazon Effect'

Over the past 10 years, Amazon’s market value has grown more than 2,000 percent. The entire retail industry is feeling the heat, and companies are investing in digital transformation initiatives to help them compete. Walmart, for example, is rapidly investing in digital capabilities and online brands (it acquired Jet.com, for example).

Blogs
 
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WHY MASTER DATA MANAGEMENT AND MACHINE LEARNING GO HAND IN HAND

Reltio's inclusion in the The Forrester Wave™: Machine Learning Data Catalogs Q2 2018, by Michele Goetz with Gene Leganza, Elizabeth Hoberman, and Kara Hartig, Forrester Research, June 2018, sparked (pun intended) several questions. Such as why was Reltio included, how did we receive such strong marks, and why were we the only Master Data Management (MDM) vendor in the Wave?