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DataMatch Enterprise vs Yugandhar Open MDM Hub

DataMatch Enterprise

dataladder.com

Yugandhar Open MDM Hub

github.com

Side by side

FigureDataMatch EnterpriseYugandhar Open MDM Hub
Price from—Free
Free plan—Yes
Free trialYes—
Open source—Yes
WebYesYes
WindowsYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published31
Spec score · Customer Data Quality Software8.7 (#2)8.2 (#9)
DeploymentThe 2026 release ships as a Docker container that runs on Linux, on-premises infrastructure or cloud environments.It can run with an embedded Spring Boot web server such as Tomcat or inside a Java EE container such as Red Hat JBoss.
DocumentationThe vendor guide walks through import, profiling, cleansing, matching, results, survivorship, export, scheduling and API usage.The repository links project guides, an API and transaction reference, data-model and customization guides, Javadoc and database documentation.
Founded20062017
LicenceData Ladder describes its matching technology as proprietary and presents the product as a commercial quoted offering; no open-source licence is stated.The project is released under the Apache 2.0 license.
MatchingIt supports phonetic, numeric, domain-specific, and fuzzy matching, with tunable algorithm levels and weights.A match-and-merge framework is listed as a built-in capability.
PurposeDataMatch Enterprise is a code-free toolkit for data profiling, cleansing, matching, and deduplication across data sources.The hub is intended to harmonize and integrate customer master data for CDI use cases.
Rating on G24.2 out of 5 from 27 reviewsNo Yugandhar listing or product rating is shown on G2’s 128-product MDM category page.
Rating on GetApp0 out of 5 from 0 reviewsNo Yugandhar listing or product rating is shown on GetApp’s master-data-management category page.
Rating on TrustRadius7 out of 10 from 1 reviewNo Yugandhar listing or product rating is shown on TrustRadius’s 83-product enterprise MDM category page.
SupportThe product page lists [email protected] and +1 (888) 779 6578 as contact details.Questions and contribution requests are directed to [email protected].

Plans

DataMatch Enterprise

  • DataMatch EnterprisePriced on request
  • DataMatch Enterprise + Address VerificationPriced on request
  • DataMatch Enterprise + APIPriced on request

DataMatch Enterprise pricing →

Yugandhar Open MDM Hub

  • FreeFree

Yugandhar Open MDM Hub pricing →

In their own words

DataMatch Enterprise

DataMatch Enterprise is a code-free toolkit for profiling, cleansing, matching, and deduplicating data from multiple sources. Its profiling tools identify quality problems and help surface where data may need cleansing, standardization, matching, or deduplication. Matching methods include phonetic, numeric, domain-specific, and fuzzy approaches, with adjustable algorithm levels and weights. An address module verifies and corrects mailing addresses, fills missing details, and adds ZIP+4 geocoding information. A REST API makes cleansing and matching functions available to custom projects. The containerized release can run on Linux, on-premises infrastructure, or in the cloud; listed platforms also include web and Windows. Visual entity graphs support review of matched groups from a particular run, rather than persistent identity graphs across batches. The maker describes the interface as intended for business users, IT specialists, data analysts and scientists, and novice users. The product is paid, with pricing on request; a free trial is available, but there is no free plan.

Visit dataladder.com

Yugandhar Open MDM Hub

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.

Visit github.com