Paribus 365 vs Yugandhar Open MDM Hub

Paribus 365 is a data quality tool embedded in Microsoft Dynamics 365 CRM. Its fuzzy search looks across multiple entities and can find records despite incomplete or misspelled names. Before a user adds an Account, Contact or Lead, it can flag a possible existing record; users can review potential duplicates and merge them within their CRM workflow. The Data Cleansing service searches across the CRM for large-scale duplication and supports review, approval, merging and consolidation into a master record. Lead Management highlights existing customers and associates Leads with them during qualification and engagement. Smart Entity Lookups uses fuzzy matching to help users choose a CRM entity. The Free Edition supports unlimited users and up to 100,000 records, with free support and help resources. Search and Detect starts at $5.50 per user per month, plus a data-volume charge, and requires at least 10 users. Data Cleansing costs $825.00 per month with a minimum initial commitment of two months. A fully assisted 30-day trial includes the listed search, duplicate management, cleansing, lead management and lookup features.

Yugandhar Open MDM Hub is a free, Apache 2.0-licensed project for integrating and harmonizing customer master data. Its extendable model covers people, organizations, accounts, addresses, phone numbers, identifiers, relationships, vehicles, preferences, and properties. The project describes more than 450 prebuilt services, including 50+ composite services and 400 base table services. It offers REST and message-queue interfaces, with embedded validations, business rules, and match-and-merge capabilities for data quality.

MariaDB and Oracle are preconfigured, with extension options for MySQL, DB2, NoSQL, and PostgreSQL. Listed components and integrations include ActiveMQ, JTA, ORM, Spring Boot, Hibernate, JBoss, and Maven. User- and role-based authorization and row-level audit history support access control and transaction tracking. Other features include multilingual reference data, event management, paginated retrieval and search, and JSR 107-compliant Ehcache caching. Deployment options include an embedded Spring Boot web server such as Tomcat or a JEE container such as Red Hat JBoss. Production hosting supports most Linux distributions; CentOS and Ubuntu are listed as tested. Requirements include Java JDK 1.8 and MariaDB 10.3 or later or Oracle.