# Best Master Data Management (MDM) Tools - Page 2 *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Master data management (MDM) tools track the most essential company-wide data points, also known as master data, and provide insights related to company operations, clients, and goals. MDM platforms draw information from multiple domains and departments and single out the core data that administrators have determined is most relevant to the organization. Users can then implement that data as they see fit, keep records of data history, and make projections based on findings. Operations teams can utilize these tools, in conjunction with IT teams, to identify the essential metrics across the entire business and pinpoint areas of concern, gauge the success of individual departments, increase productivity, and maximize ROI. To qualify for inclusion in the MDM category, a product must: - Track data from multiples sources related to an organization, specifically department performance metrics - Consolidate, organize, and store master data, filtering for duplicate information and inconsistencies and presenting findings in a clean format - Provide administrators with tools and/or initiatives related to master data - Export MDM data as necessary to other software tools ## How Many Master Data Management (MDM) Tools Products Does G2 Track? **Total Products under this Category:** 143 ### Category Stats (May 2026) - **Average Rating**: 4.45/5 (↑0.04 vs Apr 2026) - **New Reviews This Quarter**: 41 - **Buyer Segments**: Mid-Market 43% │ Enterprise 31% │ Small-Business 26% - **Top Trending Product**: Verato MDM Cloud (+2.5) *Last updated: May 18, 2026* ## How Does G2 Rank Master Data Management (MDM) Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 8,800+ Authentic Reviews - 143+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Master Data Management (MDM) Tools Is Best for Your Use Case? - **Leader:** [SAP Master Data Governance (MDG)](https://www.g2.com/products/sap-master-data-governance-mdg/reviews) - **Highest Performer:** [Profisee](https://www.g2.com/products/profisee/reviews) - **Easiest to Use:** [Boomi](https://www.g2.com/products/boomi/reviews) - **Top Trending:** [Boomi](https://www.g2.com/products/boomi/reviews) - **Best Free Software:** [SAP Master Data Governance (MDG)](https://www.g2.com/products/sap-master-data-governance-mdg/reviews) --- **Sponsored** ### OpenDQ OpenDQ Matrix360 is an enterprise-level data quality, master data management, knowledge graph, and data governance solution designed to help organizations achieve reliable and accurate data management without incurring licensing costs. This innovative platform is built on a modular architecture, allowing it to adapt to evolving enterprise needs and scale seamlessly as data management requirements grow. OpenDQ Matrix360 is particularly beneficial for organizations focused on enhancing data integrity, improving operational efficiency, and making confident, data-driven decisions. Targeting businesses of all sizes, OpenDQ Matrix360 serves data professionals, analysts, and decision-makers who require a robust framework for managing their data assets across multiple domains and geographies. The solution is designed to facilitate the management of diverse data types, including customer, product, vendor, and reference data, making it an ideal choice for organizations looking to streamline their data operations. By providing a comprehensive suite of tools, OpenDQ Matrix360 empowers users to maintain high standards of data quality and governance, ultimately supporting better business outcomes. One of the standout features of OpenDQ Matrix360 is its zero license cost model, which replaces traditional licensing fees with a simple annual support fee. This approach not only frees up budget for delivery and scaling but also allows organizations to invest more in their data initiatives. The platform includes a powerful rules engine for visual authoring of validation and rule enforcement, enabling users to implement data quality standards at scale. Additionally, the integrated knowledge graph offers visual exploration, schema design, and AI-powered discovery, ensuring that master data records are synchronized and fully audited. OpenDQ Matrix360 also excels in providing comprehensive data lineage capabilities, allowing organizations to trace data from its source to consumption through a graph-based, end-to-end lineage system. This feature is complemented by a unified business glossary and data catalog, which enhances metadata governance and technical metadata harvesting. The platform's enterprise search capabilities, driven by AI workflows, further streamline data retrieval and analysis, while the AI workspace supports various machine learning and AI-driven workflows, making it a versatile tool for modern data management. By unifying data quality, master data management, and knowledge graphs into a single governed platform, OpenDQ Matrix360 delivers a scalable foundation of trust that organizations can rely on for every analytic, operational, and AI-driven workflow. Its modular architecture allows users to deploy only the components they need, ensuring that the solution can grow and evolve alongside their data management requirements. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=411&secure%5Bdisplayable_resource_id%5D=411&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=411&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=94279&secure%5Bresource_id%5D=411&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fmaster-data-management-mdm%3Fpage%3D8%26tab%3Dlearn&secure%5Btoken%5D=bb2d1808611513f1605e0a9a2d4480b1e5dc7a0a0773eff24f93fb6d7cbf68b9&secure%5Burl%5D=https%3A%2F%2Fwww.infosolvetech.com%2Fmasterdatamanagement-r&secure%5Burl_type%5D=product_website) --- ## What Are the Top-Rated Master Data Management (MDM) Tools Products in 2026? ### 1. [Zeenea](https://www.g2.com/products/zeenea/reviews) "Zeenea is the Data Discovery Platform built for everyone to find, trust, and unlock the value of enterprise data. The cloud platform features two modern user experiences: Zeenea Studio is the application designed for data experts to save time managing, documenting, and governing data with maximum automation; while Zeenea Explorer enables business users to gain productivity by finding the data assets they need across all enterprise information. Zeenea’s built-in scanners and APIs enable organizations to automatically collect, consolidate, and link metadata from their data ecosystem. With a powerful knowledge graph and smart search engine, data teams can activate all enterprise metadata through a single source of truth. Zeenea helps dozens of organizations worldwide democratize data, including BPCE Group, Club Med, Generali, Renault, Société Générale, Solactive and Stellantis. Zeenea's SOC 2 Type II-certified solutions include a Data Catalog, a Business Glossary, Data Lineage, Data Quality, Data Governance, Data Stewardship, Data Privacy, Regulatory Compliance, Cloud Transformation." **Average Rating:** 4.4/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Zeenea?** - **Data Governance:** 8.7/10 (Category avg: 9.0/10) - **Data Masking:** 8.7/10 (Category avg: 8.4/10) - **Hierarchy Management:** 8.3/10 (Category avg: 8.6/10) - **Ease of Use:** 8.3/10 (Category avg: 8.4/10) **Who Is the Company Behind Zeenea?** - **Seller:** [Zeenea](https://www.g2.com/sellers/zeenea) - **Year Founded:** 2017 - **HQ Location:** Paris, √éle-de-France - **Twitter:** @ZeeneaSoftware (249 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/zeenea (26 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 25% Enterprise ### 2. [OpenDQ](https://www.g2.com/products/opendq/reviews) OpenDQ Matrix360 is an enterprise-level data quality, master data management, knowledge graph, and data governance solution designed to help organizations achieve reliable and accurate data management without incurring licensing costs. This innovative platform is built on a modular architecture, allowing it to adapt to evolving enterprise needs and scale seamlessly as data management requirements grow. OpenDQ Matrix360 is particularly beneficial for organizations focused on enhancing data integrity, improving operational efficiency, and making confident, data-driven decisions. Targeting businesses of all sizes, OpenDQ Matrix360 serves data professionals, analysts, and decision-makers who require a robust framework for managing their data assets across multiple domains and geographies. The solution is designed to facilitate the management of diverse data types, including customer, product, vendor, and reference data, making it an ideal choice for organizations looking to streamline their data operations. By providing a comprehensive suite of tools, OpenDQ Matrix360 empowers users to maintain high standards of data quality and governance, ultimately supporting better business outcomes. One of the standout features of OpenDQ Matrix360 is its zero license cost model, which replaces traditional licensing fees with a simple annual support fee. This approach not only frees up budget for delivery and scaling but also allows organizations to invest more in their data initiatives. The platform includes a powerful rules engine for visual authoring of validation and rule enforcement, enabling users to implement data quality standards at scale. Additionally, the integrated knowledge graph offers visual exploration, schema design, and AI-powered discovery, ensuring that master data records are synchronized and fully audited. OpenDQ Matrix360 also excels in providing comprehensive data lineage capabilities, allowing organizations to trace data from its source to consumption through a graph-based, end-to-end lineage system. This feature is complemented by a unified business glossary and data catalog, which enhances metadata governance and technical metadata harvesting. The platform's enterprise search capabilities, driven by AI workflows, further streamline data retrieval and analysis, while the AI workspace supports various machine learning and AI-driven workflows, making it a versatile tool for modern data management. By unifying data quality, master data management, and knowledge graphs into a single governed platform, OpenDQ Matrix360 delivers a scalable foundation of trust that organizations can rely on for every analytic, operational, and AI-driven workflow. Its modular architecture allows users to deploy only the components they need, ensuring that the solution can grow and evolve alongside their data management requirements. **Average Rating:** 5.0/5.0 **Total Reviews:** 6 **How Do G2 Users Rate OpenDQ?** - **Data Governance:** 10.0/10 (Category avg: 9.0/10) - **Data Masking:** 9.2/10 (Category avg: 8.4/10) - **Hierarchy Management:** 9.4/10 (Category avg: 8.6/10) - **Ease of Use:** 9.7/10 (Category avg: 8.4/10) **Who Is the Company Behind OpenDQ?** - **Seller:** [Infosolve Technologies](https://www.g2.com/sellers/infosolve-technologies) - **Company Website:** https://www.infosolvetech.com/ - **Year Founded:** 2003 - **HQ Location:** Princeton, US - **Twitter:** @InfosolveTech (1 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/infosolve-technologies-inc/ (8 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 33% Small-Business #### What Are OpenDQ's Pros and Cons? **Pros:** - Pricing (2 reviews) - AI Modeling (1 reviews) - Automation (1 reviews) - Automation Features (1 reviews) - Customer Support (1 reviews) **Cons:** - Poor Documentation (1 reviews) ### 3. [Reltio Connected Data Platform](https://www.g2.com/products/reltio-connected-data-platform/reviews) Reltio offers the industry's first cloud-native, multi-domain MDM SaaS solution. By offering next-generation master data management, the Reltio Connected Data Platform leverages a cloud-native, multi-tenant architecture and our ecosystem to enable speed, agility and flexibility at scale, and facilitate successful digital transformation projects. Companies across industries rely on Reltio to deliver mission-critical, secure, unified, reliable and real-time data at scale to create connected experiences for their customers, partners, prospects, users and employees. If you are a Data Innovator and want to position your company to win in the experience economy, let's talk! **Average Rating:** 3.3/5.0 **Total Reviews:** 6 **How Do G2 Users Rate Reltio Connected Data Platform?** - **Data Governance:** 7.5/10 (Category avg: 9.0/10) - **Data Masking:** 9.2/10 (Category avg: 8.4/10) - **Hierarchy Management:** 9.2/10 (Category avg: 8.6/10) - **Ease of Use:** 7.0/10 (Category avg: 8.4/10) **Who Is the Company Behind Reltio Connected Data Platform?** - **Seller:** [Reltio](https://www.g2.com/sellers/reltio) - **Year Founded:** 2011 - **HQ Location:** Redwood City, California, United States - **Twitter:** @Reltio (1,489 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/reltio-inc (582 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 33% Mid-Market ### 4. [beVault (formerly dataFactory)](https://www.g2.com/products/bevault-formerly-datafactory/reviews) beVault is a cutting-edge data warehouse automation software designed to accelerate the deployment of your data warehouse or data platform by up to five times using the Data Vault 2.0 methodology. By automating 95% of the code generation, beVault eliminates the need for manual coding, allowing you to visually design your data models based on business concepts and seamlessly integrate them with your data sources. Key Features: - Rapid Deployment: Accelerate your data warehouse automation processes, enabling the rapid creation and deployment of new business cases five times faster, reducing time-to-market and keeping your business agile. - Business-Centric Interface: beVault’s user-friendly interface fosters collaboration between IT and business teams, allowing everyone to co-construct data models without technical barriers, enhancing efficiency. - Comprehensive Data Quality Management: With its embedded data quality framework, beVault enables organizations to leverage the benefits of Data Vault to apply data quality controls on data sources, business concepts, and attributes. Measure your data quality over time and engage your teams with data stewardship functionalities. - Triple Automation: beVault automates the generation of code for your data models, streamlines workflows and their execution, and automatically produces comprehensive documentation. This integrated approach accelerates your data projects, reduces manual effort and risk of error, while ensuring consistency across all stages of your data management process. - Flexible Deployment: Deploy beVault on-premises, in the cloud, or in a hybrid environment, ensuring maximum flexibility to meet your organization's specific needs. Experience the transformative power of beVault and upgrade your data management strategy. Start for free today or book a demo to explore how beVault can help you reach your data goals faster and with fewer resources. beVault supports multiple architecture such as Data Mesh, Data Lake and Lakehouse. **Average Rating:** 4.8/5.0 **Total Reviews:** 11 **How Do G2 Users Rate beVault (formerly dataFactory)?** - **Data Governance:** 8.9/10 (Category avg: 9.0/10) - **Data Masking:** 7.9/10 (Category avg: 8.4/10) - **Hierarchy Management:** 8.3/10 (Category avg: 8.6/10) - **Ease of Use:** 8.6/10 (Category avg: 8.4/10) **Who Is the Company Behind beVault (formerly dataFactory)?** - **Seller:** [dFakto](https://www.g2.com/sellers/dfakto-b7951c6f-7231-4a04-8e22-8d515af1280d) - **Year Founded:** 2000 - **HQ Location:** Etterbeek, BE - **LinkedIn® Page:** https://www.linkedin.com/company/dfakto (37 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 64% Mid-Market, 27% Small-Business #### What Are beVault (formerly dataFactory)'s Pros and Cons? **Pros:** - Automation (1 reviews) - Customer Support (1 reviews) - Data Accuracy (1 reviews) - Data Quality (1 reviews) - Data Security (1 reviews) **Cons:** - Complex Setup (1 reviews) - Difficult Setup (1 reviews) - Difficulty Learning (1 reviews) - Steep Learning Curve (1 reviews) ### 5. [Informatica Customer 360](https://www.g2.com/products/informatica-customer-360/reviews) End-to-end customer information management for a single, trusted source of business-critical data to fuel analytics and operations. **Average Rating:** 4.3/5.0 **Total Reviews:** 8 **How Do G2 Users Rate Informatica Customer 360?** - **Data Governance:** 8.9/10 (Category avg: 9.0/10) - **Data Masking:** 8.3/10 (Category avg: 8.4/10) - **Hierarchy Management:** 8.3/10 (Category avg: 8.6/10) - **Ease of Use:** 8.6/10 (Category avg: 8.4/10) **Who Is the Company Behind Informatica Customer 360?** - **Seller:** [Informatica](https://www.g2.com/sellers/informatica) - **Year Founded:** 1993 - **HQ Location:** Redwood City, CA - **Twitter:** @Informatica (99,782 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,930 employees on LinkedIn®) - **Ownership:** NYSE: INFA **Who Uses This Product?** - **Company Size:** 50% Enterprise, 40% Mid-Market ### 6. [SyncForce Circular PIM](https://www.g2.com/products/syncforce-circular-pim/reviews) SyncForce is a specialized software solution designed to assist Packaged Goods Manufacturers, including those in the Food, Pet Food, and Non-Food sectors, in achieving timely and complete digital product availability while alleviating the administrative burdens typically associated with product information management (PIM). By eliminating the reliance on cumbersome Excel sheets and manual updates, SyncForce streamlines the management of product and packaging data (PPWR, DoC, EPR), allowing manufacturers to focus on their core business activities. The SyncForce Circular PIM platform is tailored for manufacturers facing the complexities of modern product management. It automates and simplifies the flow of product data, ensuring compliance with industry regulations and standards. This is particularly beneficial for companies navigating the increasing demands of eCommerce, Environmental, Social, and Governance (ESG) criteria, and stringent regulatory requirements. By providing a centralized system for data management, SyncForce enhances operational efficiency and reduces the time spent on repetitive administrative tasks. One of the standout features of SyncForce is its advanced data model, which supports the intricate management of packaging components and regulated label information. This capability is essential in today's market, where sustainability and health considerations are paramount. Manufacturers can ensure that their products meet the necessary compliance standards while also appealing to environmentally conscious consumers. The platform's ability to manage complex data structures effectively makes it a valuable tool for companies looking to innovate and adapt in a rapidly changing landscape. SyncForce not only simplifies data management but also plays a crucial role in talent retention. By reducing the administrative workload associated with data tasks, it allows employees to focus on more strategic initiatives, fostering a more engaged and productive workforce. This, in turn, contributes to enhanced customer experiences and accelerated organic growth, as manufacturers can respond more swiftly to market demands and optimize their sales processes. The platform is trusted by a range of international A-Brand and Private Label manufacturers, including notable names such as Agristo, Brabantia, Tyson and Heristo. As a certified GS1-GDSN solution provider and a Microsoft Gold Partner, SyncForce stands out in its category by offering robust support and integration capabilities, ensuring that users can leverage the full potential of their product data management strategies. **Average Rating:** 4.3/5.0 **Total Reviews:** 14 **How Do G2 Users Rate SyncForce Circular PIM?** - **Data Governance:** 8.3/10 (Category avg: 9.0/10) - **Data Masking:** 6.1/10 (Category avg: 8.4/10) - **Hierarchy Management:** 7.8/10 (Category avg: 8.6/10) - **Ease of Use:** 8.7/10 (Category avg: 8.4/10) **Who Is the Company Behind SyncForce Circular PIM?** - **Seller:** [SyncForce](https://www.g2.com/sellers/syncforce) - **Company Website:** https://www.syncforce.com - **Year Founded:** 1999 - **HQ Location:** Eindhoven, Netherlands - **Twitter:** @syncforce (513 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/syncforce/ (26 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 73% Mid-Market, 20% Small-Business #### What Are SyncForce Circular PIM's Pros and Cons? **Pros:** - Asset Management (2 reviews) - Ease of Use (2 reviews) - Data Management (1 reviews) - Features (1 reviews) - Image Management (1 reviews) **Cons:** - Limited Customization (1 reviews) - Limited Flexibility (1 reviews) - Slow Performance (1 reviews) - Time Delays (1 reviews) ### 7. [SyncManager](https://www.g2.com/products/syncmanager/reviews) SyncManager is a Software-as-a-Service (SaaS) solution designed to manage master data within and between enterprises. SyncManager forms a central repository for storing this master data and provides powerful functionality such as automatically validating data quality against industry standards, sharing data electronically with those who need it and keeping master data synchronized between different systems. **Average Rating:** 5.0/5.0 **Total Reviews:** 5 **How Do G2 Users Rate SyncManager?** - **Data Governance:** 9.4/10 (Category avg: 9.0/10) - **Data Masking:** 10.0/10 (Category avg: 8.4/10) - **Hierarchy Management:** 10.0/10 (Category avg: 8.6/10) - **Ease of Use:** 9.3/10 (Category avg: 8.4/10) **Who Is the Company Behind SyncManager?** - **Seller:** [LANSA](https://www.g2.com/sellers/lansa) - **Year Founded:** 1987 - **HQ Location:** Downers Grove, Illinois - **Twitter:** @LANSA (2,941 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/206121/ (136 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Small-Business, 40% Mid-Market ### 8. [Cluedin](https://www.g2.com/products/cluedin/reviews) CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no longer need to spend time manually modeling, mapping and integrating their data, allowing the natural data model to emerge and evolve with your business. Not only does this save time and money, it also means that the quality of your data can improve by up to 50% in as little as six weeks. Our system integrates with over 27 Microsoft Azure Data and Analytics Services, including Purview and the Fabric suite. We were also the first MDM vendor to integrate with Azure OpenAI and to launch our own AI Assistant. With CluedIn, integrate data 60% faster, validate and deduplicate data 50% quicker, and raise analytics accuracy by 25%. **Average Rating:** 4.1/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Cluedin?** - **Data Governance:** 8.3/10 (Category avg: 9.0/10) - **Data Masking:** 8.3/10 (Category avg: 8.4/10) - **Hierarchy Management:** 10.0/10 (Category avg: 8.6/10) - **Ease of Use:** 7.9/10 (Category avg: 8.4/10) **Who Is the Company Behind Cluedin?** - **Seller:** [CluedIn](https://www.g2.com/sellers/cluedin) - **Year Founded:** 2015 - **HQ Location:** Copenhagen, Copenhagen - **Twitter:** @cluedinhq (2,431 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/cluedin-aps (41 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 42% Mid-Market, 33% Enterprise #### What Are Cluedin's Pros and Cons? **Pros:** - AI Features (1 reviews) - Customer Support (1 reviews) - Easy Setup (1 reviews) **Cons:** - Learning Curve (1 reviews) ### 9. [Informatica Multidomain MDM](https://www.g2.com/products/informatica-multidomain-mdm/reviews) MDM creates high-quality data that helps you improve business outcomes with trusted, relevant, and authoritative information. **Average Rating:** 4.6/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Informatica Multidomain MDM?** - **Ease of Use:** 9.6/10 (Category avg: 8.4/10) **Who Is the Company Behind Informatica Multidomain MDM?** - **Seller:** [Informatica](https://www.g2.com/sellers/informatica) - **Year Founded:** 1993 - **HQ Location:** Redwood City, CA - **Twitter:** @Informatica (99,782 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,930 employees on LinkedIn®) - **Ownership:** NYSE: INFA **Who Uses This Product?** - **Company Size:** 75% Enterprise, 25% Small-Business ### 10. [Tolerro](https://www.g2.com/products/tolerro/reviews) At Tolerro, we didn't just start in software or IT. We started as Enterprise Asset Management specialists and that's where our experience lies. Whether our clients require Strategic Advice & Analysis, Tactical Advice & Support, Mobility Solutions or Asset Performance & Reporting, we are experts in developing solutions to fit your needs. Across IBM® Maximo®, IBM® TRIRIGA®, Interloc, SAP or other systems, we know the tools inside out, but more importantly we know Enterprise Asset Management inside out. **Average Rating:** 4.4/5.0 **Total Reviews:** 4 **Who Is the Company Behind Tolerro?** - **Seller:** [Tolerro](https://www.g2.com/sellers/tolerro) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 33% Enterprise ### 11. [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) Automation Anywhere is the global leader in Agentic Process Automation (APA), transforming how organizations put AI to work. Our platform combines specialized AI agents, generative AI, and end-to-end process automation—including process discovery, RPA, document processing, and advanced analytics—all built on a foundation of security and governance. We empower businesses worldwide to unlock productivity, elevate customer experiences, and drive new revenue streams. Guided by our vision to fuel the future of work, we unleash human potential through Agentic AI-powered automation. Learn more at https://www.automationanywhere.com. **Average Rating:** 4.5/5.0 **Total Reviews:** 4,011 **How Do G2 Users Rate Automation Anywhere Agentic Process Automation?** - **Ease of Use:** 8.9/10 (Category avg: 8.4/10) **Who Is the Company Behind Automation Anywhere Agentic Process Automation?** - **Seller:** [Automation Anywhere](https://www.g2.com/sellers/automation-anywhere) - **Company Website:** https://www.AutomationAnywhere.com - **Year Founded:** 2003 - **HQ Location:** San Jose, CA - **Twitter:** @AutomationAnywh (55,165 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/208639/ (3,967 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** RPA Developer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 59% Enterprise, 23% Mid-Market #### What Are Automation Anywhere Agentic Process Automation's Pros and Cons? **Pros:** - Ease of Use (83 reviews) - Automation (71 reviews) - Efficiency (44 reviews) - Automation Ease (42 reviews) - User Interface (42 reviews) **Cons:** - Expensive (28 reviews) - Learning Curve (27 reviews) - Missing Features (24 reviews) - Software Bugs (21 reviews) - Bot Issues (20 reviews) ### 12. [Axtria DataMAx](https://www.g2.com/products/axtria-datamax/reviews) Axtria DataMAx™ is the next generation global cloud-based commercial Life Sciences data management product enabling accelerated actionable business insights from trusted data. Axtria DataMAx™ facilitates the rapid integration of all major structured and unstructured life sciences data sources, securely, accurately, and with industry compliance. Data quality and business management rules are applied to make sure the data being processed is conditioned for its intended use and can be trusted. Users can provision data mart creation for downstream consumption and reporting by analytics systems, models, or individual data stewards. **Average Rating:** 4.3/5.0 **Total Reviews:** 6 **How Do G2 Users Rate Axtria DataMAx?** - **Ease of Use:** 9.0/10 (Category avg: 8.4/10) **Who Is the Company Behind Axtria DataMAx?** - **Seller:** [Axtria](https://www.g2.com/sellers/axtria) - **Year Founded:** 2010 - **HQ Location:** Berkeley Heights, NJ - **Twitter:** @Axtria (3,213 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/789643 (3,641 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 33% Mid-Market ### 13. [Datafi](https://www.g2.com/products/datafi/reviews) Datafi unlocks enterprise data with AI — changing how everyone can find and use the business information they need, regardless of where or how it is stored across the enterprise data ecosystem. Our AI-powered platform connects data from all sources, while our AI-powered Agent transforms plain language questions into requests that find the information needed, while enforcing granular security and data quality controls. We empower everyone, from entry-level to executive-level, with their own personalized AI Agent. Our AI Agent is context aware, intent aware, and user aware, becoming smarter with each use while eliminating unwanted hallucinations. Join Datafi customers, partners and solution providers already powering their business with AI. Learn more at datafi.co **Average Rating:** 4.9/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Datafi?** - **Data Governance:** 10.0/10 (Category avg: 9.0/10) - **Data Masking:** 10.0/10 (Category avg: 8.4/10) - **Hierarchy Management:** 10.0/10 (Category avg: 8.6/10) - **Ease of Use:** 9.2/10 (Category avg: 8.4/10) **Who Is the Company Behind Datafi?** - **Seller:** [Datafi](https://www.g2.com/sellers/datafi) - **Year Founded:** 2020 - **HQ Location:** Seattle, US - **Twitter:** @DatafiLabs (29 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datafi-co/ (22 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 25% Mid-Market ### 14. [EPMware](https://www.g2.com/products/epmware/reviews) All-in-One Master Data Management and Data Governance Built for the business user, EPMware's unified solution centralizes, integrates, validates, and governs metadata across applications **Average Rating:** 5.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate EPMware?** - **Data Governance:** 10.0/10 (Category avg: 9.0/10) - **Hierarchy Management:** 10.0/10 (Category avg: 8.6/10) - **Ease of Use:** 9.2/10 (Category avg: 8.4/10) **Who Is the Company Behind EPMware?** - **Seller:** [EPMware](https://www.g2.com/sellers/epmware) - **Year Founded:** 2013 - **HQ Location:** San Jose, US - **LinkedIn® Page:** https://www.linkedin.com/company/epmware/ (8 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Enterprise, 33% Mid-Market #### What Are EPMware's Pros and Cons? **Pros:** - Connectors (1 reviews) - Customer Support (1 reviews) - Ease of Use (1 reviews) - Features (1 reviews) - Integrations (1 reviews) ### 15. [Fireflai](https://www.g2.com/products/fireflai/reviews) Fireflai® is a B2B SaaS Data platform that leverages proprietary Data Science, Machine Learning and Generative AI to transform product data operations. Fireflai® enables seamless ingestion, management and enrichment of complex catalogues and product master data - accelerating the onboarding, activation and continuous improvement of SKUs for Manufacturers, Distributors and Retailers. Fireflai can: - Ingest PIM/ERP extracts such as product and parts lists, taxonomies and lists of values - Enrich product lists with validated data, documents and images from unstructured supplier files, catalogues, metadata, even the web - Generate content such as descriptions, taglines, features & benefits, SEO tags - Cleanse, match and merge datasets to create a 'golden product dataset' - Classify and transform product data into required taxonomies for simple ERP/PIM import - Translate datasets into multiple languages **Average Rating:** 4.5/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Fireflai?** - **Data Governance:** 10.0/10 (Category avg: 9.0/10) - **Data Masking:** 4.2/10 (Category avg: 8.4/10) - **Hierarchy Management:** 4.2/10 (Category avg: 8.6/10) - **Ease of Use:** 9.2/10 (Category avg: 8.4/10) **Who Is the Company Behind Fireflai?** - **Seller:** [Fireflai](https://www.g2.com/sellers/fireflai) - **Year Founded:** 2023 - **HQ Location:** Manchester , GB - **LinkedIn® Page:** https://www.linkedin.com/company/fireflai-ai (8 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Enterprise, 20% Mid-Market #### What Are Fireflai's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Time-Saving (4 reviews) - Speed (3 reviews) - Implementation Ease (2 reviews) - Automation (1 reviews) **Cons:** - Bug Issues (1 reviews) - Inaccuracy (1 reviews) - Inaccuracy Issues (1 reviews) - Software Bugs (1 reviews) ### 16. [Palantir Foundry](https://www.g2.com/products/palantir-foundry/reviews) Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrating siloed data sources into a common analytics and operations picture. Palantir works with commercial companies and government organizations alike to close the operational loop, feeding real-time data into your data science models and updating source systems. With a breadth of industry-leading capabilities, Palantir can help enterprises traverse and operationalize data to enable and scale decision-making, alongside best-in-class security, data protection, and governance. Foundry was named by Forrester as a leader in the The Forrester Wave™: AI/ML Platforms, Q3 2022. Scoring the highest marks possible in product vision, performance, market approach, and applications criteria. As a Dresner-Award winning platform, Foundry is the overall leader in the BI and Analytics market and rated a perfect 5/5 by its customer base. **Average Rating:** 4.1/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Palantir Foundry?** - **Data Governance:** 9.2/10 (Category avg: 9.0/10) - **Data Masking:** 9.2/10 (Category avg: 8.4/10) - **Hierarchy Management:** 9.2/10 (Category avg: 8.6/10) - **Ease of Use:** 7.6/10 (Category avg: 8.4/10) **Who Is the Company Behind Palantir Foundry?** - **Seller:** [Palantir](https://www.g2.com/sellers/palantir) - **HQ Location:** Denver, US - **Twitter:** @PalantirTech (419,615 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,509 employees on LinkedIn®) - **Ownership:** PLTR (NYSE) **Who Uses This Product?** - **Company Size:** 36% Enterprise, 36% Small-Business #### What Are Palantir Foundry's Pros and Cons? **Pros:** - AI Capabilities (1 reviews) - AI Features (1 reviews) - AI Integration (1 reviews) - AI Modeling (1 reviews) - Analysis Efficiency (1 reviews) **Cons:** - Expensive (1 reviews) - Limited Customization (1 reviews) - Limited Features (1 reviews) - Limited Options (1 reviews) ### 17. [Palantir Gotham](https://www.g2.com/products/palantir-gotham/reviews) Palantir Gotham is a commercially-available, AI-ready operating system that improves and accelerates decisions for operators across roles and all domains. For over a decade, Gotham has surfaced insights from complex data for global defense agencies, the intelligence community, disaster relief organizations, and beyond. Gotham joins and enriches massive volumes of near-real time data and presents them in a single view that enables users to make faster, more confident decisions, together. Decision makers from headquarters to the forward deployed edge access the most recent understanding of the world, and can act while accounting for global tradeoffs and dependencies. **Average Rating:** 4.3/5.0 **Total Reviews:** 9 **How Do G2 Users Rate Palantir Gotham?** - **Data Governance:** 10.0/10 (Category avg: 9.0/10) - **Data Masking:** 10.0/10 (Category avg: 8.4/10) - **Hierarchy Management:** 10.0/10 (Category avg: 8.6/10) - **Ease of Use:** 9.0/10 (Category avg: 8.4/10) **Who Is the Company Behind Palantir Gotham?** - **Seller:** [Palantir](https://www.g2.com/sellers/palantir) - **HQ Location:** Denver, US - **Twitter:** @PalantirTech (419,615 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,509 employees on LinkedIn®) - **Ownership:** PLTR (NYSE) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 30% Enterprise ### 18. [Peliqan](https://www.g2.com/products/peliqan/reviews) Peliqan.io is an all-in-one AI-first data integration and automation platform designed for business teams, scale-ups and consultants. Unlike traditional data tools that demand heavy engineering effort, Peliqan enables both business users and technical teams to connect, manage, and activate their data in one collaborative environment - without requiring a dedicated data engineer. With 250+ built-in connectors, Peliqan connects to databases, SaaS business applications (ERP, CRM, Accounting, HRM/ATS etc.), cloud storage, files and APIs as well as on-prem data sources. New connectors are available on demand within 5 business days. Peliqan offers one-click ELT pipelines to the built-in data warehouse, or you can bring your own data warehouse. Peliqan supports all major data warehouses. Thanks to Peliqan’s Excel add-in, business users and consultants can work with real-time data in Excel. Analysts and power users can use Peliqan’s advanced SQL editor with the support of an AI assistant to transform data and prepare business-ready data sets, which can be used in any BI tool such as Microsoft Power BI, Metabase, Tableau, Qlik, Looker etc. Users can also set up Reverse ETL flows. Developers can go even further with Peliqan’s low-code environment, with a built-in virtual AI Data Engineer, where they can: - Build & Publish interactive data apps - Automate writebacks into source systems - Publish API endpoints for data sharing - Implement custom pipelines - Build out internal AI Agents By empowering business users, analysts, consultants and developers, Peliqan dramatically reduces reliance on IT support and speeds up decision-making. Peliqan is not just an ELT data pipeline tool, it’s a complete solution for data orchestration, automation, and activation. Peliqan also acts as the data foundation for Agentic AI, ensuring that AI agents work with trusted, up-to-date 360° views of customers, products, orders, and more - at the speed of a cloud data warehouse. Peliqan’s data warehouse provides an AI-ready data layer out-of-the-box including: - Automatic vectorizing of structured and non-structured data for RAG (Retrieval-Augmented Generation) - Text-to-SQL - MCP Gateway In today’s landscape, a data warehouse is no longer just for BI - it’s the foundation for both BI and AI. With Peliqan.io, organizations can integrate, analyze, and activate their data seamlessly, empowering both humans and AI agents to make smarter, faster decisions. **Average Rating:** 4.8/5.0 **Total Reviews:** 74 **How Do G2 Users Rate Peliqan?** - **Data Governance:** 7.5/10 (Category avg: 9.0/10) - **Data Masking:** 7.5/10 (Category avg: 8.4/10) - **Hierarchy Management:** 7.5/10 (Category avg: 8.6/10) - **Ease of Use:** 9.4/10 (Category avg: 8.4/10) **Who Is the Company Behind Peliqan?** - **Seller:** [Peliqan](https://www.g2.com/sellers/peliqan) - **Company Website:** https://peliqan.io - **Year Founded:** 2022 - **HQ Location:** Gent - **Twitter:** @Peliqan_io (9 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/peliqan-data (27 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 45% Mid-Market, 44% Small-Business #### What Are Peliqan's Pros and Cons? **Pros:** - Ease of Use (45 reviews) - Integrations (43 reviews) - Easy Integrations (37 reviews) - Connectors (36 reviews) - Data Management (36 reviews) **Cons:** - Learning Difficulty (18 reviews) - Required Technical Skills (12 reviews) - Feature Limitations (10 reviews) - Learning Curve (10 reviews) - Steep Learning Curve (9 reviews) ### 19. [Surefront](https://www.g2.com/products/surefront/reviews) Surefront is a cloud-based Product Lifecycle Management (PLM), Product Information Management (PIM), and Wholesale Customer Relationship Management (CRM) 3-in-1 platform that streamlines the product development and merchandising process for retailers and suppliers. Surefront replaces antiquated tools like emails and spreadsheets. It frees up product development and merchandising teams so they can do what they do best. **Average Rating:** 4.7/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Surefront?** - **Data Governance:** 8.9/10 (Category avg: 9.0/10) - **Data Masking:** 8.9/10 (Category avg: 8.4/10) - **Hierarchy Management:** 8.9/10 (Category avg: 8.6/10) - **Ease of Use:** 8.7/10 (Category avg: 8.4/10) **Who Is the Company Behind Surefront?** - **Seller:** [Surefront](https://www.g2.com/sellers/surefront) - **Year Founded:** 2018 - **HQ Location:** San Marino, US - **Twitter:** @surefront (363 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/surefront/ (14 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Apparel & Fashion - **Company Size:** 62% Mid-Market, 31% Small-Business #### What Are Surefront's Pros and Cons? **Pros:** - Collaboration (7 reviews) - Ease of Use (6 reviews) - Features (6 reviews) - Product Management (6 reviews) - Data Management (5 reviews) **Cons:** - Slow Performance (6 reviews) - Lagging Performance (3 reviews) - Search Functionality (3 reviews) - Inefficient Search Functionality (2 reviews) - Performance Issues (2 reviews) ### 20. [Syncari](https://www.g2.com/products/syncari/reviews) Syncari is an AI-ready, Agentic MDM platform that unifies, governs, and activates trusted data across all your systems, domains, and cloud infrastructure. Built for enterprises navigating the complexity of multi-agent environments and AI-driven operations, Syncari automates core data management workflows—from data modeling and lineage to validation and remediation—without needing heavy IT resources. At the heart of Syncari is its patented multi-directional sync, delivering real-time, bi-directional data consistency across CRMs, ERPs, cloud platforms, and data warehouses—without custom code or middleware. Syncari ensures continuously clean, synchronized, and governed data flows throughout your enterprise and is always ready for analytics, AI models, and operational use. Whether you're powering AI copilots, managing complex entity relationships, or standardizing data pipelines, Syncari helps you move beyond just managing data—to activating it. Why Syncari? -Syncari Agentic MDM™: Designed for orchestrating trusted data across AI agents and teams -Patented Multi-Directional Sync: Real-time updates across all connected platforms -Agentic Ops: Schema sync, field mapping, DQ enforcement, and remediation -Entity Resolution: Consolidate and deduplicate records across domains -Composable + Cloud-First: Built to plug into your existing SaaS and data stack -Low-Code / No-Code: Accessible to IT, data teams, RevOps, and business users alike Core Capabilities Unify, Sync, Automate, Activate, Model, Catalog, Lineage, Transform, Standardize, Verify, Remediate, Observe, Report, Consume Top Use Cases - Customer Master: Build a unified customer profile across GTM systems - Product Master: Align and enrich product data across eCommerce and ERP - Hierarchy Master: Govern legal entities, accounts, and territories - Analytics MDM: Push AI-ready data into BI tools and ML workflows - Data Products: Operationalize governed datasets for internal and external use - Data Quality: Automatically identify, validate, standardize, and remediate data issues across systems - MDM for Snowflake: Sync and manage master data directly inside Snowflake - MDM for GCP: Connect, unify, and activate trusted data in BigQuery and GCP tools - MDM for Your Data Warehouse: Maintain clean, governed, query-ready data across your cloud warehouse infrastructure -MCP Server for your unified data **Average Rating:** 4.8/5.0 **Total Reviews:** 41 **How Do G2 Users Rate Syncari?** - **Ease of Use:** 7.9/10 (Category avg: 8.4/10) **Who Is the Company Behind Syncari?** - **Seller:** [Syncari](https://www.g2.com/sellers/syncari) - **Year Founded:** 2019 - **HQ Location:** Newark, California - **Twitter:** @syncari (236 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/syncari/ (49 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 51% Mid-Market, 44% Small-Business ### 21. [BUCS](https://www.g2.com/products/bucs/reviews) BUCS is an end-to-end data management platform built by experienced FP&A consultants to streamline data consolidation, transformation and reporting for better decision-making. With over 150 connectors for both cloud-based and on-premises systems, BUCS seamlessly integrates with ERP, CRM, payroll, operational systems and more—creating a reliable, many-to-one standardized data structure. Our Master Data Management (MDM) and Chart of Accounts mapping tools deliver a real-time view of your organization’s data, empowering you with a single source of truth for financial analytics. Easily connect report-ready data to Excel or BI tools without needing technical expertise. Our platform also features pre-built reporting templates for a variety of financial reports, including income statements, balance sheets, cash flow statements and KPI dashboards, saving time and reducing errors. Headquartered in Kansas City, MO, BUCS serves mid-market organizations in eliminating manual, error-prone data processes, breaking down silos, and enabling faster, data-driven decisions. Our customers trust us to drive revenue growth by transforming how they manage and leverage their data. **Average Rating:** 4.9/5.0 **Total Reviews:** 10 **How Do G2 Users Rate BUCS?** - **Data Governance:** 9.2/10 (Category avg: 9.0/10) - **Data Masking:** 9.2/10 (Category avg: 8.4/10) - **Hierarchy Management:** 9.2/10 (Category avg: 8.6/10) - **Ease of Use:** 8.8/10 (Category avg: 8.4/10) **Who Is the Company Behind BUCS?** - **Seller:** [BUCS Analytics](https://www.g2.com/sellers/bucs-analytics) - **Year Founded:** 2016 - **HQ Location:** Kansas City, US - **LinkedIn® Page:** https://www.linkedin.com/company/bucs-analytics/ (20 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 30% Enterprise #### What Are BUCS's Pros and Cons? **Pros:** - Collaboration (4 reviews) - Customer Support (4 reviews) - Data Integration (3 reviews) - Ease of Use (3 reviews) - Easy Integrations (3 reviews) **Cons:** - API Issues (1 reviews) - Data Management Issues (1 reviews) - Dependency Issues (1 reviews) - Lack of Real-Time Data (1 reviews) - Sync Issues (1 reviews) ### 22. [ClearMDM](https://www.g2.com/products/clearmdm/reviews) ClearMDM offers Master Data Management for Salesforce. **Average Rating:** 4.3/5.0 **Total Reviews:** 2 **How Do G2 Users Rate ClearMDM?** - **Data Governance:** 9.2/10 (Category avg: 9.0/10) - **Data Masking:** 10.0/10 (Category avg: 8.4/10) - **Hierarchy Management:** 9.2/10 (Category avg: 8.6/10) - **Ease of Use:** 9.2/10 (Category avg: 8.4/10) **Who Is the Company Behind ClearMDM?** - **Seller:** [Audit9](https://www.g2.com/sellers/audit9) - **Year Founded:** 2012 - **HQ Location:** Newcastle upon Tyne, GB - **Twitter:** @audit_9 (72 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/audit9 (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Enterprise ### 23. [DQLabs](https://www.g2.com/products/dqlabs/reviews) DQLabs offers PRIZM, which is an AI-native platform that unifies context, data observability, and quality into a single control plane that continuously understands data, evaluates its trustworthiness, and operates across the enterprise. PRIZM is used by enterprises to detect, explain, and resolve data issues before they impact analytics or AI systems and orchestrate resolution with minimal human intervention, while keeping humans in control through AI stewardship. **Average Rating:** 4.6/5.0 **Total Reviews:** 43 **How Do G2 Users Rate DQLabs?** - **Data Governance:** 10.0/10 (Category avg: 9.0/10) - **Data Masking:** 8.3/10 (Category avg: 8.4/10) - **Hierarchy Management:** 10.0/10 (Category avg: 8.6/10) - **Ease of Use:** 9.6/10 (Category avg: 8.4/10) **Who Is the Company Behind DQLabs?** - **Seller:** [DQLabs](https://www.g2.com/sellers/dqlabs) - **Year Founded:** 2020 - **HQ Location:** Pasadena, California - **Twitter:** @DQLABSAI (246 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/dqlabsai/ (95 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 44% Mid-Market, 20% Enterprise #### What Are DQLabs's Pros and Cons? **Pros:** - Data Quality (28 reviews) - Ease of Use (24 reviews) - Efficiency Improvement (24 reviews) - Automation (20 reviews) - Features (20 reviews) **Cons:** - Poor Documentation (7 reviews) - Product Immaturity (2 reviews) - Complexity (1 reviews) - Data Management Issues (1 reviews) - Data Quality (1 reviews) ### 24. [Kradle](https://www.g2.com/products/kradle/reviews) Kradle was designed for small to medium sized business that can't afford expensive enterprise level software packages. Offering businesses the most flexible pricing in the market allows Kradle to grow within a business as they grow. Kradle is a modern day BPM solution that allows users to store their data and files where they need it and without the pain of switching between solutions. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **Who Is the Company Behind Kradle?** - **Seller:** [Kradle](https://www.g2.com/sellers/kradle) - **Year Founded:** 2016 - **HQ Location:** Brisbane, AU - **Twitter:** @kradlesoftware (359 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kradlesoftware/ (7 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise ### 25. [StorageX](https://www.g2.com/products/storagex/reviews) StorageX is a leader in intelligent file management solutions that empower enterprises to seamlessly analyze, move, manage and modernize critical data across hybrid, cloud and object-based storage infrastructures for true business transformation. The award winning StorageX platform eliminates vendor lock-in and provides a policy-based, storage management platform to provide the insight, agility, and operational efficiency to transform your data assets into competitive advantage. Used today by 26 of the top Fortune 100 companies, StorageX has optimized more than 350 PB of storage, saving more than 170 years in project time and $170 million in total storage costs. **Average Rating:** 4.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate StorageX?** - **Data Governance:** 7.5/10 (Category avg: 9.0/10) - **Data Masking:** 8.3/10 (Category avg: 8.4/10) - **Hierarchy Management:** 8.3/10 (Category avg: 8.6/10) - **Ease of Use:** 6.7/10 (Category avg: 8.4/10) **Who Is the Company Behind StorageX?** - **Seller:** [Data Dynamics](https://www.g2.com/sellers/data-dynamics-b44a23e3-af6d-4ec7-bf5c-f70193ba34f1) - **Year Founded:** 2012 - **HQ Location:** Upper Saddle River, New Jersey, United States - **Twitter:** @DataDynamicsInc (929 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/data-dynamics/ (114 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are StorageX's Pros and Cons? **Cons:** - Expensive (1 reviews) ## What Is Master Data Management (MDM) Tools? [IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure) ## What Software Categories Are Similar to Master Data Management (MDM) Tools? - [Data Quality Tools](https://www.g2.com/categories/data-quality) - [Product Information Management (PIM) Systems](https://www.g2.com/categories/product-information-management-pim) - [Data Governance Tools](https://www.g2.com/categories/data-governance-tools) --- ## How Do You Choose the Right Master Data Management (MDM) Tools? ### What You Should Know About Master Data Management (MDM) Tools ### What are Master Data Management (MDM) Tools? With the increasing complexity in the way businesses are being run globally, it has become a priority to maintain data integrity to drive business intelligence. Master data management (MDM) tools monitor and track essential company data assets and use the data to derive valuable insights to support business intelligence plans. It consists of tools and technology used to process master data across the enterprise. Businesses are empowered to create quality information and derive insights using standardizations and workflows. MDM software is multidomain in nature, supporting several departments such as IT, operations, finance, and others to utilize the data synchronously. Master data might be a small part of the company’s entire data repository, but it is the most complex and valuable of them all. MDM tools can also include various user interfaces, model-driven APIs, and several automation workflows to drive real-time collaboration between teams. It also supports data governance. Data governance is the process wherein different teams define the data and data quality that the MDM solution will process. Data governance includes key directives that are required to manage several organization bodies, multi-domain teams, standard policies and procedures, qualities, and principles that help to assess the master data.  Multi-domain master data management acts as a single source of truth across different teams and departments and enables organizations to drive digital transformation by using master data. Master data acts as a golden record since it is cleaned and not erroneous in nature. Master data management enables the organization to make data-driven decisions concerning revenue generation, operational agility, time to market, and cross-functional team mobility, among others.  Leveraging master data to take actionable insights and intelligence is driving the need for master data management tools in any type of organization. By having quick access to the most critical data assets, companies can have faster product rollouts, design new marketing campaigns, spend budgets wisely, create cross-sell and upsell opportunities, and more. Data quality is key. **Types of master data** Master data, reference data, and metadata are key data points for any business process. Master data is the core data around which a business process is conducted, and is determined as most relevant to the organization. To understand the type of MDM tools, it is necessary to understand the different types of master data first.  **Customer data:** This includes information for a business such as customer names, addresses, contact details, customer domains, employee records, sales data, and any other enterprise data. Loyalty programs, online sales, surveys, and several other methods can be used to get customer data. **Product data:** This includes information regarding the product or service that a business provides. Information such as product info, parts, and assets are included in this. Product information management (PIM) would manage all the data regarding a business product. **Location data:** This includes the data that provides the geographical presence of the company across the globe. It also provides office location, geographic division data, and others. **Others:** This includes any other information such as licensing data, warranty information, contract, and others. Multi-domain MDM solutions can be applied across several different industries to improve operational efficiency. For example, consider a manufacturing company. A manufacturing company needs to be able to access critical data such as product information. In case a manufacturer obtains wrong information, it could cause severe production delays. By using master data management tools, critical data can be accessed via a single-view dashboard where various teams can see any change made to a manufacturing process, compliance, and product specifications and be notified of the changes. Different teams can observe the additions/deletions made to bills of materials and be notified of the same. They can monitor the addition/deletion of several SKUs and set compliance standards that everyone can access and need to follow. MDM solutions provide different teams with a 360-degree view of critical data. **The value of master data** A single error in data could cause several other errors that can have dire consequences. A wrong address for a customer could mean orders would be shipped to another location, credit card bills would never reach a customer, or even newspapers wouldn't be delivered. An incorrect label on a product could cause a company to lose millions of dollars in product recalls. Wrong account details could cause large sums of money to be deposited into the account of an unintended customer, causing severe losses. A single error could easily tarnish brand reputation in turn losing brand loyalty. In such a scenario, managing master data has become a necessity, hence companies are opting for MDM software. **What Does MDM Stand For?** MDM stands for master data management. Along with tracking and monitoring a company's most critical data points, master data management software also allows various business users to use multi-domain data to make meaningful decisions that are relevant to grow business value. #### What Types of Master Data Management (MDM) Tools Exist? In terms of architecture, there are four different types of master data management designs: **Registry-style MDM** This is the simplest and least expensive type of master data management architecture. MDM tools work with record data or “stubs” that provide the data source, present location, and other required information. It is the least expensive architecture in terms of deployment because the data is in the form of stubs and not the actual data. The major drawback in registry-style master data management is that data movement is a one-way street where changes made to master data do not get conveyed back to data sources. **Consolidated-style MDM** This is an upgrade from registry-style master data management, the main difference is that actual data is moved from their sources to the data repository. It has a similar drawback as registry-style master data management. **Coexistent-style MDM** This type of MDM software synchronizes master data to move both upstream and downstream, which means that data can coexist in the data platform and the repository. Coexistent-style MDM has a high latency since the data is collected and sent back downstream. **Transactional-style MDM** This is the most complete and the most expensive type of MDM system. Master data is collected from the source and moved to the data repository, where it is cleaned, standardized, and sent back to the source. Transactional style master data management requires expertise and the right tools to ensure proper data flow both upstream and downstream. ### What are the Common Features of Master Data Management (MDM) Tools? MDM systems are a great way to ensure that a company is making the best use of its critical data through data visualization, by using a single-view dashboard. The following are some core master data management features that can help users in several ways: **Data matching and linking:** This is the core feature of MDM solutions. Along with pulling real-time data from different sources, MDM software should have a matching and linking feature. While managing a large list of contacts, there are often possibilities of duplicates being created since data is collected and stored from multiple departments. By using the matching and linking feature, duplicate and redundant data is eliminated all the while maintaining the data integrity and ensuring data validation. This cleaned-up data is known as the golden record. Since this task is automated, companies can save up on resources rather than manually cleaning the data. Master data management software demonstrates the element of cleansing and correcting erroneous data. **Data Governance:** MDM tools allow executive teams to set up standards and centralized procedures that every member of the organization needs to follow. When business rules are centralized, each team has access to the set of regulations and standard procedures to be followed. These rules are directly implemented into the software without any need for back-end support. **Data privacy support:** As an organization expands, the amount of data being generated in a single day increases exponentially. New customers are being added, new transactions are being recorded, and the amount of data keeps growing. In such a scenario, companies need to ensure that the highest echelons of data privacy policies and processes are being followed. MDM systems allow the concerned personnel to set up access rights to any data source. By setting up rights and restricting actions, master data can be kept private. Master data management solutions also have additional features where they can encrypt data, so users will require a secure password or multi-factor authentication (MFA) to gain access to the data. By doing this, the company is protected from security breaches and hacks. **Data protection regulations:** To protect data within geo-boundaries, countries are coming up with strict data regulation policies such as the General Data Protection Regulation (GDPR). Certain data cannot cross regions and borders. By using master data management tools, companies can ensure the data is well within regulatory policies. **Data enrichment:** Data enrichment is defined as a process to improve data quality from various sources. Under data enrichment, data is validated, cleansed, streamlined, and finally integrated with other external data sources to derive detailed information. This golden data is used to analyze trends, identify patterns, and allow firms to make decisions proactively by setting up workflows. Data enrichment can also help teams specifically to solve several issues. For example, marketing teams can understand customer buying behavior, identify patterns, and derive tailor-made products, offers, and discounts to retain a customer. MDM software is a single source of truth for all teams across an organization to observe the enriched data. **Software integration and validation:** MDM tools are designed to work smoothly with other existing business systems, which include CRM, ERP, and others. A user should be able to easily export master data management data as necessary to be used with other software tools. ### What are the Benefits of Master Data Management (MDM) Tools? Some of the key benefits of master data management software include: **Act as a single source repository and improve data quality:** MDM platforms help organizations collect, process, manage different sets of customer data across different departments. Having all master data of a company within a multi-domain software prevents duplicate data occurrences and combines any incomplete data to create new, valuable data called the golden record. Data that needs to be updated, edited, or deleted can be done by using the MDM software. All the data is finally used to create an end-to-end solution.  **Drive customer engagement:** By having enterprise data from different departments collated in a single software, marketing teams and customer engagement teams can obtain a 360-degree view of customers and create personalized ads and campaigns. Marketing and sales teams of organizations can come up with strategies and promotions to grow business value by attracting more customers and retaining old ones. Since master data management helps remove duplicate entries, it can also help organizations avoid errors such as sending emails to a wrong email ID, sending duplicate catalogs to a single address, sending bills to an incorrect address, and several other embarrassing situations.  **Improve product life cycle:** The main goal of MDM software is to improve efficiency by having all master data collected and acting as a single source of truth. By doing this, numerous teams such as logistics and supply chain teams, product teams, customer care teams, marketing teams, and others will have access to the same data assets and thereby work cohesively to develop product plans. Teams can set up tighter milestones and handle order requests in a short period. All teams are made well aware of any product changes and have real-time access to the product data.  **Reduce processing time and cost:** The complex nature of data makes manual processing of data difficult, time-consuming, and costly.MDM solutions support data automation, thereby saving a large amount of time. Since employees do not have to manually clean up the data, it reduces processing costs and lets the employees focus on other tasks. **Improve decision-making:** By having all master data under a single dashboard providing better data visualization, teams and executives can use the enterprise data to drive business intelligence and make proactive decisions. ### Who Uses Master Data Management (MDM) Tools? **Business users and leaders:** Data-driven decisions are integral to business intelligence. By using MDM tools, business users and CXOs can use this information to analyze efficiencies and track ROI. In addition, the tracking of master data will allow business leaders to align company goals with business values and objectives and derive methods to achieve success. Data analytics is one of the core competencies for any organization to be successful, and by having a master data management software that manages and organizes data, firms only stand to benefit further. Management will be able to maintain strong relationships with various stakeholders by providing them with trustworthy data. In addition to making proactive decisions to ensure continuous workflow, top executives can also ensure that company data is following all data compliance and regulatory standards set up geographically.  **IT teams:** This team would be responsible for handling the MDM software. This would involve tasks such as setting up, managing, organizing, synchronizing, and monitoring performance. Some of the important roles under this category include: - System admins: System admins will be responsible for handling the server (on-premises or cloud) and IT infrastructure where the master data management is deployed. - Architects: Architects form a bridge between IT teams and executive teams. Their main responsibility is to design data model processes that will be implemented using the MDM platform. - Developers: Developers will be responsible for integrating the MDM system with other applications within the enterprise.  - MDM admins: The admin team would be responsible for configuring the master data management platform and controlling various activities such as front-end user experience, business rules, and so on. - Solution owners: A solution owner would be responsible for managing technical resources. They generally also have a strong relationship with the MDM software vendor. - Project managers: They oversee the entire project. **Department heads:** Since MDM platforms would draw data from cross-functional teams such as finance, marketing, operations, sales, HR, and several others, this role includes subject matter experts of their respective departments who will be managing the data. They will be the ones to ensure that data quality is being maintained. They are tasked with profiling, cleaning, validating, and managing the data. They are also termed as data stewards who have agile self-service access to the software. ### Challenges with Master Data Management (MDM) Tools Master data management solutions can come with their own set of challenges.  **Setting data standards:** Data standards set by analyzing master data need to agree with all the various types of data available in the company. In addition, standards set need to be accepted and all the various departments need to adapt to these standards. It is a key challenge because if data standards are not planned well, the process can become quite cumbersome. **Data integration with other software:** Integrating master data management tools with other applications and platforms can tend to become quite complicated. Data management, transfer, and integration with other platforms can cause errors, show compatibility issues, and even take a lot of time to close. In addition, integration errors could cause only some sections of data to be transferred. **Need for efficient data stewardship:** To maintain the quality of data, data stewards need to maintain and monitor the data using the MDM software. The presence of bad data will cause management issues, cycle disruptions, and hamper data validation. Data stewards from various teams need to be established as efficient owners of their section of the data to prevent any issues.  **Model agility and flexibility:** One of the biggest challenges that companies face is to ensure that the right master data management solution is selected. Due to a large number of offerings as well as the complexity of handling data from different sources, it becomes increasingly challenging for companies to choose the right master data model best suited for the company. An inactive and ambiguous MDM software could do more harm than good. ### How to Buy Master Data Management (MDM) Tools #### Requirements Gathering (RFI/RFP) for Master Data Management (MDM) Tools Choosing the right MDM solution allows teams to have an efficient data management process by improving data governance, data delivery, and ultimately achieving business alignment.  **Identify cost drivers:** Before deciding to opt for a master data management solution, it is a good idea to understand the various cost drivers involved. The three main cost drivers in master data management software include: - IT integration costs: These costs include necessary interface applications costs, communication costs, and error solving costs.  - Analytics costs: Costs associated with unreliable reports, presence of erroneous data, duplicated data, and bad data sources. In addition, obtaining consolidated reports is very costly. - Maintenance costs: Data maintenance costs, the volume of new master data being created, and the increasing efforts to ensure all required information is given to users from master data can be a significant cost driver. **Identify master data sources:** A key step in deciding what master data is to be managed is to identify the various sources of master data. Firms might require only one type of master data to be managed, whereas large corporations would need to manage several master data categories.  **Conduct feasibility analysis:** Before choosing the master data management software, companies should undertake a requirement and feasibility study/analysis. Once done, the company can use the data to create reports of pain points that will assist to choose a master data management solution.  **Integration support:** Companies should choose a master data management software that smoothly integrates with all other existing applications that the firm uses. This protects existing tech investments and prevents the need for replacement which would again drive up costs. Choosing a master data management solution that smoothly integrates with other support systems, platforms and tools is a key factor when deciding on a master data management software.  **After-sales service:** Companies should look for a master data management software that offers efficient after-sales support. The software should be able to provide support at multiple levels and options based on the various devices being managed. In addition, for enterprises that are present across the globe, it would be a good idea to ensure that the master data management software has support teams in various countries and supports different languages. #### Compare Master Data Management (MDM) Tools **Create a long list** It is a good practice to list out the pros and cons of different MDM software, and come up with a long list. Long lists help eliminate software that do not provide critical functionality, thereby reducing the list to be more compact and precise. **Create a short list** Once the list has been narrowed down, the customer can begin to compare different features and offerings of the MDM software as per the company requirements as well as the data sources that will be managed. Pricing decisions need to be compared at this stage. A highly efficient method of comparing various MDM tools would be to opt for technology review platforms, such as g2.com, which provide unbiased reviews and different perspectives on the benefits/issues with various master data management software. **Conduct demos** Most master data management software vendors offer live demos, so it is a good practice to opt for these to ensure that companies have made the correct decision and that the master data management software is easily integrated within the IT environment.  #### Selection of Master Data Management (MDM) Tools **Choose a selection team** Choosing the right team to work together on deciding on MDM software is a critical part of the process. The team should include a mix of different personas who have the required skills, interests, and time. Some roles include project manager, department heads, CXOs, and others. **Negotiation** Once the software is selected, teams can negotiate and come to the best pricing decision. It is important to negotiate to include possible additional costs that might come in the future. These additional costs could include software upgrades, licensing costs, and other requirements. **Final decision** Once all the steps are complete, the final decision is made weighing all factors and scenarios. The decision is taken weighing in all the above factors, and the best possible master data management tool is identified.