Master Data Management Solutions Reviews and Ratings
What are Master Data Management (MDM) solutions?
Master data management (MDM) is a technology-enabled business discipline where business and IT organizations work together for the uniformity, accuracy, stewardship, semantic consistency and accountability of enterprises’ shared master data assets.
Organizations use MDM solutions as part of an MDM strategy, which should be part of a wider enterprise information management (EIM) strategy. An MDM strategy potentially encompasses management of multiple master data domains (e.g., customer, citizen, product, “thing,” asset, person/party, supplier, location, and financial master data domains). Data and analytics (D&A) leaders procure MDM tools for data engineers or less-technical users, such as data stewards.
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Informatica Intelligent Data Management Cloud is a software designed to facilitate data integration, management, and analytics across various cloud and on-premises environments. The software provides capabilities for automating data pipelines, cleansing, cataloging, and transforming data to support improved data quality and governance. It enables organizations to connect and unify disparate data sources, manage data workloads, and ensure data availability for analytics and reporting. The software addresses business challenges related to data fragmentation, complexity in multi-cloud environments, and regulatory compliance by providing centralized control and monitoring functionalities, helping businesses leverage their data for operational and strategic decision-making.
Master Data Governance Solution for (Material, Service, Vendor, Customer, Assets, Employee, Business Partner, etc.) with embedded Data Quality Management MDRM can be integrated with multiple ERPs like IBM Maximo, Microsoft Dynamics Oracle NetSuite and SAP S/4 Hana. It is a Multi-Domain, Multi-Tenant, and Multi-Lingual system with an easy-to-use UI/UX for customer experience.
Semarchy xDM is a no-code app generation platform with intuitive, web-based design interfaces that enable IT teams to configure tailored data management solutions in under 12 weeks that are easily adopted by business/end users. xDM combines comprehensive features covering automated data discovery, integration, stewardship, data quality and enrichment, workflows, and core MDM capabilities alongside in-depth metrics and dashboards, all in a single module.
xDM’s carefully designed architecture and technology stack allows rapid implementation via an agile and iterative approach that delivers business value almost immediately yet scales to support complex enterprise environments.
Semarchy xDM is available on-premise, is natively deployable on most popular cloud marketplaces such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP) and is managed as a service with support by a rich ecosystem of software-as-as-service (SaaS) professional service partners.
Stibo Systems MDM is a software designed to manage, consolidate, and govern master data across multiple domains such as product, customer, supplier, and location data. The software provides tools for data modeling, quality validation, and policy enforcement to enable organizations to achieve accurate and consistent information throughout their systems. It supports integration with various enterprise applications, facilitates data workflows, and offers roles-based access to promote collaboration and compliance. Stibo Systems MDM addresses challenges related to data silos, inconsistency, and duplication, helping organizations improve operational efficiency and decision-making by maintaining trusted and unified data assets.
TIBCO EBX is a software designed to address data management requirements for organizations by providing a comprehensive platform for managing shared data assets such as master data, reference data, and hierarchies. The software enables centralized governance, business workflow integration, and collaborative stewardship of data across departments and systems. It offers features for data modeling, version control, workflow-driven data stewardship, and customizable governance rules to help organizations maintain data consistency, integrity, and compliance. TIBCO EBX supports integration with other enterprise systems, ensuring consistent data usage and quality across a business. The software is utilized to streamline data management processes, improve operational efficiency, and facilitate better decision-making through unified and trusted data assets.
Profisee Platform is a master data management software designed to help organizations manage, govern, and maintain the quality of critical data across the enterprise. The software provides features for data integration, data cleansing, matching, and golden record creation, enabling consistent and accurate information across multiple domains such as customer, product, and reference data. It incorporates workflow automation, data stewardship, and rule management to support data governance practices. Profisee Platform addresses the challenge of data inconsistency and fragmentation by enabling centralized data control, compliance with data standards, and improved data-driven decision-making within businesses.
Pimcore is an open-source software designed for managing digital data and customer experiences across multiple channels. The software provides features for product information management, digital asset management, content management, and digital commerce. Pimcore enables organizations to centralize, consolidate, and harmonize their product and media information, helping to streamline workflows and enhance the consistency of data. The software supports integration with various third-party systems and facilitates the creation and delivery of personalized experiences across web, mobile, and print platforms. Pimcore addresses challenges related to fragmented data structures and digital content management by offering a unified solution suitable for various business sectors.
Reltio Data Cloud is a software that provides cloud-native data management capabilities for organizations seeking to unify, cleanse, and manage enterprise data across multiple sources. The software facilitates real-time integration, data quality, and governance to deliver a consolidated view of data entities such as customers, products, or suppliers. It supports identity resolution, survivorship rules, and relationship management to enhance the accuracy and consistency of information. Reltio Data Cloud enables businesses to solve challenges related to fragmented, inaccurate, or siloed data by offering scalable, secure, and configurable data management solutions that support analytics, compliance, and operational efficiency.
SAP Master Data Governance is a software designed to manage, govern, and maintain master data across an organization. The software establishes a centralized framework for creating, changing, and distributing master data related to business partners, products, suppliers, and financials. It supports workflows for approval, data validation, and duplication checks, helping organizations improve data consistency and accuracy. The software offers various deployment options and integrates with other business applications to ensure that reliable master data is available throughout enterprise processes. SAP Master Data Governance addresses challenges related to data silos and inconsistent information by providing tools to monitor, steward, and synchronize master data within complex IT landscapes.
IBM InfoSphere Master Data Management is a software designed to help organizations manage critical enterprise data across various domains. The software enables integration, reconciliation, and centralization of master data, such as customer, product, or account information, from disparate sources. It supports data governance, consistency, and accuracy by providing features for data cleansing, matching, and merging. The software can be deployed on premises or in cloud environments and offers tools for managing and accessing master data through customizable workflows and business rules. IBM InfoSphere Master Data Management addresses business problems related to fragmented and inconsistent data by providing a unified view that supports compliance, operational efficiency, and informed decision-making.
Ataccama ONE MDM is a master data management software designed to provide centralized and consistent data across an organization by consolidating data from multiple sources. The software focuses on data integration, data quality, and data governance, enabling organizations to create a single, reliable source of business-critical information. It supports a range of data domains such as customer, product, and supplier data, with features for data profiling, matching, merging, and validation. Ataccama ONE MDM addresses challenges related to data duplication, inconsistency, and siloed records by applying automated data cleansing and enrichment. The software is designed for integration with existing IT infrastructure and can be deployed on-premises or in cloud environments, supporting regulatory compliance and improved decision-making by ensuring accurate and up-to-date master data.
Contentserv MDM is a software designed to centralize and manage master data related to products, customers, suppliers, and other key business information. The software offers tools for data modeling, data quality control, and workflow automation, enabling organizations to standardize and harmonize their data across multiple channels and systems. Contentserv MDM integrates with existing enterprise applications and supports functions such as import, export, enrichment, and validation of master data. By providing a unified environment for managing critical business information, the software addresses the challenges of data inconsistencies, redundancies, and inefficiencies, facilitating improved data governance and supporting more effective business operations.
Syndigo MDM is a software designed to manage and improve the quality of master data across diverse domains including product, supplier, location, and customer information. The software provides centralized data governance, data enrichment capabilities, and tools for validation, ensuring data consistency and integrity throughout the organization. By enabling the integration of disparate data sources, Syndigo MDM streamlines data consolidation and simplifies downstream processes, allowing organizations to reduce errors and duplication. The software supports workflows for data authorization and stewardship, which facilitates better collaboration within teams handling critical information. Syndigo MDM helps organizations address challenges surrounding data accuracy, compliance, and efficient data exchange within business ecosystems.
Microsoft MDS (Legacy) is a software designed for master data management, offering tools to create, manage, and maintain centralized repositories of critical business information. The software enables organizations to define business rules and workflows for data governance, ensuring data consistency and quality across various applications. Microsoft MDS (Legacy) provides functionalities for data versioning, security management, and hierarchical data structures, supporting integration with other Microsoft products for comprehensive data stewardship. The software addresses the business problem of fragmented or inconsistent data by allowing users to standardize and consolidate key data assets, facilitating accurate reporting and decision-making within enterprise environments.
Precisely EnterWorks is a software designed for master data management and product information management across organizations. The software enables businesses to centralize, organize, and manage data related to products, suppliers, and other core business assets. Through workflow automation, multi-domain data modeling, and collaboration capabilities, the software assists companies in improving data quality and consistency between systems. EnterWorks facilitates the integration of data from multiple sources, supports governance, and helps organizations address complexities often found in managing product content, digital assets, and business processes. The software is utilized to enhance operational efficiency, support omnichannel strategies, and ensure regulatory compliance through reliable and accurate data management.
SAP NetWeaver MDM is software designed to facilitate the consolidation, cleansing, and central management of master data across an organization. The software allows for the integration of disparate data sources and applications, enabling consistent and accurate data across business processes. SAP NetWeaver MDM supports features such as data import, validation, syndication, search functionality, workflow, and security controls. It addresses business problems related to maintaining reliable and consistent master data, minimizing data redundancy, and improving operational efficiency through standardized information management. The software also offers capabilities for data modeling and taxonomy management to ensure consistency in product, customer, and supplier data.
Viamedici EPIM is a software designed for product information management, enabling organizations to centralize, organize, and maintain product data efficiently. The software supports the consolidation of technical specifications, marketing content, and multimedia assets, facilitating the creation of accurate and consistent product information across multiple channels and systems. It addresses the business problem of fragmented and inconsistent product data by offering features such as data modeling, classification, validation, and workflow management, which help improve information quality and operational processes. The software is used to streamline the publication of product information for e-commerce, print, and digital platforms, supporting integration with third-party systems to optimize product data distribution and synchronization.
Oracle Unity Customer Data Platform transforms enterprise-wide customer data into actionable, trusted, and AI-enabled customer profiles. Unify crucial customer data from anywhere in the enterprise, run AI/ML models with complete customer context, and deliver highly personalized experiences across your customer marketing, sales, service, analytics, commerce, and more.
With complete and unified data, enterprises can create and activate audiences, generate more conversation-ready opportunities, personalize experiences, uncover insights, and optimize service operations.
Syniti Master Data Management (MDM) has all the tools and functionality enterprises need to manage and steward data. From workflow and orchestration to quality and matching all with enterprise performance and full audit capabilities, Syniti MDM delivers positive business outcomes and ROI. With connectors to over 200 systems and applications, Syniti MDM provides full support for multiple MDM implementation styles. This source- and target-agnostic MDM solution also features automated and no-code development, so everyone from data scientists to business users can spend more time analyzing data, and less time prepping it.
SAS Master Data Management (Legacy) is a software designed to manage, integrate, and govern enterprise data across multiple domains such as customers, products, and suppliers. The software provides tools for data consolidation, ensuring data consistency, quality, and accuracy throughout an organization. It enables users to resolve data duplication, maintain version control, and establish data hierarchies. Through features like data matching, cleansing, and enhancement, the software helps organizations address challenges associated with fragmented and unreliable information, supporting compliance, reporting, and operational efficiency. The software facilitates the creation of a unified view of data, improving business processes that rely on trusted data assets.
Features of Master Data Management Solutions
Updated January 2025Mandatory Features:
Multiple domain support — This has multiple domain and multidomain MDM technology purposes, built to address the requirements of an MDM program that spans more than one data domain from a master data perspective.
Data governance (policy setting) support — This provides or supports information governance functions, such as governance policy collaboration and creation, policy change management, and impact analysis, and reacts to changes made in an internal or external information governance layer.
Augmented MDM — This supports the application of graph, machine learning (ML), GenAI and similar advanced technologies to MDM. Augmented MDM extends traditional MDM capabilities to reduce manual data management and governance tasks. It generates insights on complex relationships within and across both application and master data, allowing for technology to play an active role in enabling more adaptive and context-centric approaches to MDM.
Data modeling — This effectively and flexibly supports an organization’s master data model requirements. It models complex relationships between application sources inside an organization, and with intermediaries and other parties, and provides business-consumable metadata management capabilities, wherever possible, leveraging approaches such as dynamic data modeling.
Multiple usage scenario (operational/analytical) support — This supports both operational (how MDM is used to run the business) and analytical (how MDM is used to measure and change the business) MDM requirements, and any required integration between them (i.e., both the operational and analytical usage of the data being mastered within the solution). MDM can drive both prescriptive and predictive analytics.
Data stewardship (policy enforcement) support — This supports a range of capabilities, from information policy evaluation to day-to-day operation and management of MDM. It should support the role of business-led information steward. It should equip this role with a suitable UI through which services are provided.


















