# 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:** 144 ### Category Stats (Jun 2026) - **Average Rating**: 4.44/5 (↓0.01 vs May 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Ataccama ONE (+0.64%) - Among all products in this category, Ataccama ONE recorded the largest rating increase compared to last month *Last updated: June 26, 2026* ## How Does G2 Rank Master Data Management (MDM) Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 8,900+ Authentic Reviews - 144+ 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** ### Cloudera Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. [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=1886&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%3D10&secure%5Btoken%5D=6aec99a50317878968edb7aaeb6c34e83f5a43e4246501eb9cc42f7ccea3f0fc&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url) --- ## 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: 8.5/10) **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 (248 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 #### What Are Recent G2 Reviews of Zeenea? **"[Innovation](https://www.g2.com/survey_responses/zeenea-review-7309996)"** **Rating:** 5.0/5.0 stars *— Shahzad A.* [Read full review](https://www.g2.com/survey_responses/zeenea-review-7309996) --- **"[Efficient functionality](https://www.g2.com/survey_responses/zeenea-review-7441352)"** **Rating:** 5.0/5.0 stars *— Gilbert W.* [Read full review](https://www.g2.com/survey_responses/zeenea-review-7441352) --- ### 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: 8.5/10) **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) ### What Do G2 Reviewers Say About OpenDQ? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **zero licensing cost model** of OpenDQ, enabling worry-free scalability and integration with systems like Azure. - Users commend the **flexibility and depth of features** in OpenDQ, making data management efficient and scalable. - Users value the **automation capabilities** of OpenDQ, enhancing efficiency and simplifying their data management processes. - Users value the **automation features** of OpenDQ, noting its scalability and seamless integration with existing systems. - Users appreciate the **excellent technical support** provided by OpenDQ, enhancing their experience and satisfaction. **Cons:** - Users find the **poor documentation** of OpenDQ limits usability and suggest multimedia training for improvement. #### What Are Recent G2 Reviews of OpenDQ? **"[Fast, Flexible, Scalable—OpenDQ’s Deep MDM Data Quality Features Shine](https://www.g2.com/survey_responses/opendq-review-12334458)"** **Rating:** 5.0/5.0 stars *— Sachidanand P.* [Read full review](https://www.g2.com/survey_responses/opendq-review-12334458) --- **"[Multi-Domain Master Data Management with Customer Data Platform integration](https://www.g2.com/survey_responses/opendq-review-10593014)"** **Rating:** 5.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/opendq-review-10593014) --- #### What Are G2 Users Discussing About OpenDQ? - [What is OpenDQ used for?](https://www.g2.com/discussions/what-is-opendq-used-for) ### 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: 8.5/10) **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 (1,491 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 #### What Are Recent G2 Reviews of Reltio Connected Data Platform? **"[Best MDM tool I have come across](https://www.g2.com/survey_responses/reltio-connected-data-platform-review-8643744)"** **Rating:** 4.5/5.0 stars *— Verified User in Food & Beverages* [Read full review](https://www.g2.com/survey_responses/reltio-connected-data-platform-review-8643744) --- **"[Reltio Connected Data Platform](https://www.g2.com/survey_responses/reltio-connected-data-platform-review-7651757)"** **Rating:** 4.0/5.0 stars *— Verified User in Information Technology and Services* [Read full review](https://www.g2.com/survey_responses/reltio-connected-data-platform-review-7651757) --- #### What Are G2 Users Discussing About Reltio Connected Data Platform? - [Is Reltio a CDP?](https://www.g2.com/discussions/is-reltio-a-cdp) - [How much does Reltio cost?](https://www.g2.com/discussions/how-much-does-reltio-cost) - [How does Reltio MDM work?](https://www.g2.com/discussions/how-does-reltio-mdm-work) ### 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: 8.5/10) **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 (36 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) ### What Do G2 Reviewers Say About beVault (formerly dataFactory)? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **automation of tedious tasks** in beVault, enhancing data quality with limited team resources. - Users praise the **helpful customer support** from dFakto, which greatly assists during implementations and operations. - Users value the **data accuracy** achieved with beVault, enhancing data quality and optimizing team efficiency. - Users find that beVault significantly improves **data quality** by automating tedious tasks for enhanced team efficiency. - Users value the **data security** of beVault, ensuring safe operations and finance in a diverse IT environment. **Cons:** - Users find the **complex setup** of beVault challenging, often requiring assistance from the support team to navigate it. - Users find the **difficult setup** of beVault challenging, often relying on support for assistance in understanding it. - Users find the **difficulty learning** Data Vault concepts challenging, often requiring significant support for setup. - Users find the **steep learning curve** of beVault challenging and rely heavily on the support team for assistance. #### What Are Recent G2 Reviews of beVault (formerly dataFactory)? **"[dFakto's commitment to Data Vault 2 compliance is proven-the 1st vendor to achieve DVA's cert!](https://www.g2.com/survey_responses/bevault-formerly-datafactory-review-9987896)"** **Rating:** 5.0/5.0 stars *— Cindi M.* [Read full review](https://www.g2.com/survey_responses/bevault-formerly-datafactory-review-9987896) --- **"[Instrumental into building single-source of truth](https://www.g2.com/survey_responses/bevault-formerly-datafactory-review-9971947)"** **Rating:** 5.0/5.0 stars *— Emile F.* [Read full review](https://www.g2.com/survey_responses/bevault-formerly-datafactory-review-9971947) --- ### 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: 8.5/10) **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 (99,643 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,802 employees on LinkedIn®) - **Ownership:** NYSE: INFA **Who Uses This Product?** - **Company Size:** 50% Enterprise, 40% Mid-Market #### What Are Recent G2 Reviews of Informatica Customer 360? **"[Data Management Consultant - Data Quality & MDM](https://www.g2.com/survey_responses/informatica-customer-360-review-8133187)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/informatica-customer-360-review-8133187) --- **"[overall good experienced](https://www.g2.com/survey_responses/informatica-customer-360-review-8368376)"** **Rating:** 4.5/5.0 stars *— Sahil .* [Read full review](https://www.g2.com/survey_responses/informatica-customer-360-review-8368376) --- ### 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: 8.5/10) **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) ### What Do G2 Reviewers Say About SyncForce Circular PIM? *AI-generated summary from verified user reviews* **Pros:** - Users value the **easy management of digital assets** with SyncForce, enhancing efficiency in asset handling and sharing. - Users find SyncForce Circular PIM's **ease of use** invaluable for managing diverse digital assets effectively. - Users find it easy to manage **digital assets** with SyncForce, streamlining access to various file types and variants. - Users appreciate the **comprehensive PIM solution** of SyncForce, benefiting from a user-friendly interface and continuous improvements. - Users value the **easy management of digital assets** in SyncForce, streamlining their workflow with various formats and localizations. **Cons:** - Users are frustrated by the **limited customization** options in SyncForce Circular PIM, requiring third-party assistance for changes. - Users find the **limited DIY possibilities** for system configuration to be time-consuming and cumbersome. - Users experience **slow performance** due to limited DIY configuration options, requiring time-consuming processes through SyncForce or partners. - Users find the **time delays for configuration changes** frustrating, as they rely on SyncForce and partners for adjustments. #### What Are Recent G2 Reviews of SyncForce Circular PIM? **"[Ideal for managing Digital Assets](https://www.g2.com/survey_responses/syncforce-circular-pim-review-10260170)"** **Rating:** 4.0/5.0 stars *— Pim v.* [Read full review](https://www.g2.com/survey_responses/syncforce-circular-pim-review-10260170) --- **"[SyncForce Circular PIM will make your product data work for you](https://www.g2.com/survey_responses/syncforce-circular-pim-review-9705243)"** **Rating:** 4.5/5.0 stars *— Arjen d.* [Read full review](https://www.g2.com/survey_responses/syncforce-circular-pim-review-9705243) --- #### What Are G2 Users Discussing About SyncForce Circular PIM? - [What is Product Success Platform used for?](https://www.g2.com/discussions/what-is-product-success-platform-used-for) - 1 comment ### 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: 8.5/10) **Who Is the Company Behind SyncManager?** - **Seller:** [LANSA](https://www.g2.com/sellers/lansa) - **Year Founded:** 1987 - **HQ Location:** Downers Grove, Illinois - **Twitter:** @LANSA (2,928 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/206121/ (137 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Small-Business, 40% Mid-Market #### What Are Recent G2 Reviews of SyncManager? **"[The best sdk for your next android app](https://www.g2.com/survey_responses/syncmanager-review-5467044)"** **Rating:** 5.0/5.0 stars *— Md Saeed B.* [Read full review](https://www.g2.com/survey_responses/syncmanager-review-5467044) --- **"[Very useful to sync data](https://www.g2.com/survey_responses/syncmanager-review-9739662)"** **Rating:** 5.0/5.0 stars *— Naveen S.* [Read full review](https://www.g2.com/survey_responses/syncmanager-review-9739662) --- #### What Are G2 Users Discussing About SyncManager? - [What is SyncManager used for?](https://www.g2.com/discussions/what-is-syncmanager-used-for) ### 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: 8.5/10) **Who Is the Company Behind Cluedin?** - **Seller:** [CluedIn](https://www.g2.com/sellers/cluedin) - **Year Founded:** 2015 - **HQ Location:** Copenhagen, Copenhagen - **Twitter:** @cluedinhq (2,422 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/cluedin-aps (34 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) ### What Do G2 Reviewers Say About Cluedin? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **AI features** of Cluedin, finding them accessible and easy to use for non-technical individuals. - Users appreciate the **excellent customer support** of Cluedin, making their experience smooth and efficient. - Users find Cluedin's **easy setup** intuitive, enabling quick data integration without external complications. **Cons:** - Users find that the **learning curve** for Cluedin's terminology requires significant time and effort to master. #### What Are Recent G2 Reviews of Cluedin? **"[The AI features are some of the best I have seen on the market. Quite fun to use as well.](https://www.g2.com/survey_responses/cluedin-review-11392203)"** **Rating:** 5.0/5.0 stars *— Goron M.* [Read full review](https://www.g2.com/survey_responses/cluedin-review-11392203) --- **"[Unveiling the Power of Data Collaboration: A Review of CluedIn](https://www.g2.com/survey_responses/cluedin-review-8234686)"** **Rating:** 4.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/cluedin-review-8234686) --- ### 9. [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:** 4.9/5.0 **Total Reviews:** 4 **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:** 8.9/10 (Category avg: 8.5/10) **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:** 75% Enterprise, 25% 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) ### What Do G2 Reviewers Say About EPMware? *AI-generated summary from verified user reviews* **Pros:** - Users value the **pre-built integrations** in EPMware, which enhance functionality and simplify the overall experience. - Users commend the **top-notch customer support** from EPMware, enhancing their overall implementation experience and satisfaction. - Users find EPMware very **easy to use** , benefiting from intuitive design and straightforward implementation. - Users find EPMware's **intuitive design and excellent support** essential for efficient master data management and integration. - Users value the **pre-built integrations** of EPMware, enhancing usability and streamlining implementation processes effectively. #### What Are Recent G2 Reviews of EPMware? **"[Solid Master Data Management Solution](https://www.g2.com/survey_responses/epmware-review-12333431)"** **Rating:** 5.0/5.0 stars *— Verified User in Telecommunications* [Read full review](https://www.g2.com/survey_responses/epmware-review-12333431) --- **"[Quick to Implement, Streamlined Workflow, and Fewer Metadata Errors](https://www.g2.com/survey_responses/epmware-review-12951603)"** **Rating:** 4.5/5.0 stars *— Verified User in Mining & Metals* [Read full review](https://www.g2.com/survey_responses/epmware-review-12951603) --- ### 10. [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: 8.5/10) **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 (99,643 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,802 employees on LinkedIn®) - **Ownership:** NYSE: INFA **Who Uses This Product?** - **Company Size:** 75% Enterprise, 25% Small-Business #### What Are Recent G2 Reviews of Informatica Multidomain MDM? **"[Comprehensive review of Informatica MDM](https://www.g2.com/survey_responses/informatica-multidomain-mdm-review-9522434)"** **Rating:** 4.5/5.0 stars *— Sumeet J.* [Read full review](https://www.g2.com/survey_responses/informatica-multidomain-mdm-review-9522434) --- **"[Easy to use and maintain data.](https://www.g2.com/survey_responses/informatica-multidomain-mdm-review-7938115)"** **Rating:** 5.0/5.0 stars *— Sandeep S.* [Read full review](https://www.g2.com/survey_responses/informatica-multidomain-mdm-review-7938115) --- #### What Are G2 Users Discussing About Informatica Multidomain MDM? - [What is Informatica Multidomain MDM used for?](https://www.g2.com/discussions/what-is-informatica-multidomain-mdm-used-for) ### 11. [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 #### What Are Recent G2 Reviews of Tolerro? **"[Value for money with proven management skills to give wings to business](https://www.g2.com/survey_responses/tolerro-review-7675746)"** **Rating:** 4.0/5.0 stars *— Heena R.* [Read full review](https://www.g2.com/survey_responses/tolerro-review-7675746) --- **"[Review on tolerro](https://www.g2.com/survey_responses/tolerro-review-7675619)"** **Rating:** 4.5/5.0 stars *— Ajay D.* [Read full review](https://www.g2.com/survey_responses/tolerro-review-7675619) --- #### What Are G2 Users Discussing About Tolerro? - [What is Tolerro used for?](https://www.g2.com/discussions/what-is-tolerro-used-for) ### 12. [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:** 4,040 **How Do G2 Users Rate Automation Anywhere Agentic Process Automation?** - **Ease of Use:** 8.9/10 (Category avg: 8.5/10) **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 (55,050 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/208639/ (4,314 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 (84 reviews) - Automation (71 reviews) - Efficiency (43 reviews) - Automation Ease (42 reviews) - User Interface (42 reviews) **Cons:** - Expensive (28 reviews) - Learning Curve (27 reviews) - Missing Features (25 reviews) - Software Bugs (22 reviews) - Bot Issues (20 reviews) ### What Do G2 Reviewers Say About Automation Anywhere Agentic Process Automation? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Automation Anywhere Agentic, enhancing efficiency and simplifying bot creation. - Users appreciate the **easy automation of repetitive tasks** , enhancing productivity and allowing focus on more meaningful work. - Users appreciate the **efficiency** of Automation Anywhere, highlighting its ability to automate various processes seamlessly and effectively. - Users highlight the **automation ease** of Automation Anywhere, enabling non-coders to create effective bots effortlessly. - Users appreciate the **intuitive and beautiful interface** of Automation Anywhere, enhancing their automation experience with ease and efficiency. **Cons:** - Users find the **pricing model complex and expensive** , especially for small teams or individual implementations. - Users face a **steep learning curve** when navigating Automation Anywhere's advanced features, especially for beginners. - Users find the **missing features** in Automation Anywhere, such as limited outputs and email actions, frustrating. - Users experience **software bugs** that disrupt automation tasks and complicate integration with other services like ServiceNow. - Users face challenges with **bot issues** , including a steep learning curve and difficulties in debugging and deployment. #### What Are Recent G2 Reviews of Automation Anywhere Agentic Process Automation? **"[Excellent Efficiency Gains, But Onboarding Needs Simplification](https://www.g2.com/survey_responses/automation-anywhere-agentic-process-automation-review-12949275)"** **Rating:** 4.0/5.0 stars *— Joel A.* [Read full review](https://www.g2.com/survey_responses/automation-anywhere-agentic-process-automation-review-12949275) --- **"[Helping Teams Focus on Higher-Value Work](https://www.g2.com/survey_responses/automation-anywhere-agentic-process-automation-review-12995566)"** **Rating:** 4.0/5.0 stars *— pavan k.* [Read full review](https://www.g2.com/survey_responses/automation-anywhere-agentic-process-automation-review-12995566) --- #### What Are G2 Users Discussing About Automation Anywhere Agentic Process Automation? - [What are the most significant impacts of Automation Anywhere's RPA on business process efficiency?](https://www.g2.com/discussions/automation-anywhere-rpa-robotic-process-automation-what-are-the-most-significant-impacts-of-automation-anywhere-s-rpa-on-business-process-efficiency) - 1 comment - [What are the most significant impacts of Automation Anywhere's RPA on business process efficiency?](https://www.g2.com/discussions/what-are-the-most-significant-impacts-of-automation-anywhere-s-rpa-on-business-process-efficiency) - 3 comments - [What is Automation Anywhere - RPA | Robotic Process Automation used for?](https://www.g2.com/discussions/what-is-automation-anywhere-rpa-robotic-process-automation-used-for) - 1 comment - [Can RPA be used for test automation?](https://www.g2.com/discussions/can-rpa-be-used-for-test-automation) - 4 comments, 1 upvote - [How is RPA different from automation?](https://www.g2.com/discussions/how-is-rpa-different-from-automation) ### 13. [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: 8.5/10) **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 (3,604 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 33% Mid-Market #### What Are Recent G2 Reviews of Axtria DataMAx? **"[Good choice for Bigdata analytics](https://www.g2.com/survey_responses/axtria-datamax-review-7673087)"** **Rating:** 4.5/5.0 stars *— Divya S.* [Read full review](https://www.g2.com/survey_responses/axtria-datamax-review-7673087) --- **"[DataMatically Super](https://www.g2.com/survey_responses/axtria-datamax-review-7542961)"** **Rating:** 4.5/5.0 stars *— Nitin P.* [Read full review](https://www.g2.com/survey_responses/axtria-datamax-review-7542961) --- ### 14. [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: 8.5/10) **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 #### What Are Recent G2 Reviews of Datafi? **"[DataFi and the Seattle Mariners](https://www.g2.com/survey_responses/datafi-review-8256494)"** **Rating:** 4.5/5.0 stars *— Jeff L.* [Read full review](https://www.g2.com/survey_responses/datafi-review-8256494) --- **"[Teamwork and collaboration to produce an amazing product.](https://www.g2.com/survey_responses/datafi-review-8210412)"** **Rating:** 5.0/5.0 stars *— Scott T.* [Read full review](https://www.g2.com/survey_responses/datafi-review-8210412) --- ### 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: 8.5/10) **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) ### What Do G2 Reviewers Say About Fireflai? *AI-generated summary from verified user reviews* **Pros:** - Users find Fireflai to be **extremely user-friendly** , enabling efficient workflow and quick data processing. - Users value the **time-saving features** of Fireflai, enabling them to focus on other important tasks efficiently. - Users appreciate the **speed** of Fireflai, enabling quick collection of product attributes and timely implementation of changes. - Users commend the **implementation ease** of Fireflai, finding it efficient and user-friendly for rapid deployment. - Users value the **automation capabilities** of Fireflai, enhancing efficiency and streamlining implementation without complex integrations. **Cons:** - Users report **bug issues** with Fireflai, noting the need to verify results, particularly with image outputs. - Users report **occasional inaccuracies** in Fireflai, necessitating double-checking of results, particularly with images. - Users experience **inaccuracy issues** with Fireflai, necessitating double-checking of results, particularly for images. - Users experience **occasional hallucinations** in Fireflai, necessitating double-checking of results, particularly with images. #### What Are Recent G2 Reviews of Fireflai? **"[Efficient Data Scraping with Stellar Support](https://www.g2.com/survey_responses/fireflai-review-12543523)"** **Rating:** 4.5/5.0 stars *— Jessica O.* [Read full review](https://www.g2.com/survey_responses/fireflai-review-12543523) --- **"[Enriching our product data with Fireflai](https://www.g2.com/survey_responses/fireflai-review-12039233)"** **Rating:** 5.0/5.0 stars *— Simon C.* [Read full review](https://www.g2.com/survey_responses/fireflai-review-12039233) --- ### 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: 8.5/10) **Who Is the Company Behind Palantir Foundry?** - **Seller:** [Palantir](https://www.g2.com/sellers/palantir) - **HQ Location:** Denver, US - **Twitter:** @PalantirTech (425,595 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,858 employees on LinkedIn®) - **Ownership:** PLTR (NYSE) **Who Uses This Product?** - **Company Size:** 36% Small-Business, 36% Enterprise #### 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) ### What Do G2 Reviewers Say About Palantir Foundry? *AI-generated summary from verified user reviews* **Pros:** - Users value the **integration of AI workflows** in Palantir Foundry, enhancing their tech stack and data ecosystem. - Users value the **AI integration capabilities** of Palantir Foundry, enhancing their tech stack and data workflows. - Users value the **AI integration** in Palantir Foundry, enhancing their tech stack and data ecosystem significantly. - Users value the **integration of AI workflows** in Palantir Foundry, enhancing their tech stack and data ecosystem. - Users appreciate the **analysis efficiency** of Palantir Foundry, benefiting from its comprehensive end-to-end data pipeline capabilities. **Cons:** - Users find Palantir Foundry to be **expensive** , though they acknowledge the quality justifies the cost. - Users feel frustrated by the **limited customization** options in Palantir Foundry compared to other platforms. - Users note the **limited features** of Palantir Foundry, hindering customization compared to open-source alternatives. - Users feel frustrated by the **limited customization options** in Palantir Foundry, making it less flexible than open-source alternatives. #### What Are Recent G2 Reviews of Palantir Foundry? **"[Best Review](https://www.g2.com/survey_responses/palantir-foundry-review-8335061)"** **Rating:** 5.0/5.0 stars *— Muhammad V.* [Read full review](https://www.g2.com/survey_responses/palantir-foundry-review-8335061) --- **"[Palantir Foundry: Seamlessly Integrating AI Workflows into Our Data Ecosystem](https://www.g2.com/survey_responses/palantir-foundry-review-12241359)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/palantir-foundry-review-12241359) --- ### 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: 8.5/10) **Who Is the Company Behind Palantir Gotham?** - **Seller:** [Palantir](https://www.g2.com/sellers/palantir) - **HQ Location:** Denver, US - **Twitter:** @PalantirTech (425,595 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,858 employees on LinkedIn®) - **Ownership:** PLTR (NYSE) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 30% Enterprise #### What Are Recent G2 Reviews of Palantir Gotham? **"[Get Everything About Your data With Palantir Gotham](https://www.g2.com/survey_responses/palantir-gotham-review-8595794)"** **Rating:** 4.5/5.0 stars *— Amruta k.* [Read full review](https://www.g2.com/survey_responses/palantir-gotham-review-8595794) --- **"[Palantir Gotham - Unleashing the Power of Data Analysis](https://www.g2.com/survey_responses/palantir-gotham-review-8332874)"** **Rating:** 4.0/5.0 stars *— Prashant T.* [Read full review](https://www.g2.com/survey_responses/palantir-gotham-review-8332874) --- #### What Are G2 Users Discussing About Palantir Gotham? - [What is Palantir Gotham used for?](https://www.g2.com/discussions/palantir-gotham-what-is-palantir-gotham-used-for) - [What is Palantir Gotham used for?](https://www.g2.com/discussions/what-is-palantir-gotham-used-for) ### 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:** 78 **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:** 9.3/10 (Category avg: 8.5/10) **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 (29 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 44% Mid-Market, 43% 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) ### What Do G2 Reviewers Say About Peliqan? *AI-generated summary from verified user reviews* **Pros:** - Users find Peliqan's **ease of use** remarkable, allowing seamless data integration and automation without coding. - Users love the **extensive integrations** offered by Peliqan, streamlining data connections and saving significant development time. - Users value the **easy integrations** of Peliqan, enabling instant connections to various apps and enhanced workflows. - Users value the **extensive connector ecosystem** of Peliqan, enabling seamless data integration and streamlined workflows. - Users value the **easy data integration** features of Peliqan, which significantly reduce development time and coding needs. **Cons:** - Users find the **learning difficulty** significant, especially for non-tech individuals needing assistance to navigate advanced features. - Users find that Peliqan requires **technical skills like Python and SQL** , making initial setup challenging for non-experts. - Users find **feature limitations** in Peliqan, such as a need for more automation templates and advanced alerting options. - Users face a **high initial learning curve** with Peliqan, requiring proper guidance and time for setup and error handling. - Users find the **steep learning curve** challenging, especially those without technical backgrounds or prior knowledge in machine learning. #### What Are Recent G2 Reviews of Peliqan? **"[Custom Python Tools Made Our Agent Fit Our Workflow](https://www.g2.com/survey_responses/peliqan-review-12991439)"** **Rating:** 5.0/5.0 stars *— PRADYUMNA K.* [Read full review](https://www.g2.com/survey_responses/peliqan-review-12991439) --- **"[Peliqan Makes Multi-Client AI Setups Simple and Consistent Across Claude and ChatGPT](https://www.g2.com/survey_responses/peliqan-review-12993223)"** **Rating:** 4.5/5.0 stars *— prashant r.* [Read full review](https://www.g2.com/survey_responses/peliqan-review-12993223) --- ### 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: 8.5/10) **Who Is the Company Behind Surefront?** - **Seller:** [Surefront](https://www.g2.com/sellers/surefront) - **Year Founded:** 2018 - **HQ Location:** San Marino, US - **Twitter:** @surefront (362 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/surefront/ (12 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) ### What Do G2 Reviewers Say About Surefront? *AI-generated summary from verified user reviews* **Pros:** - Users value the **collaboration features** of Surefront, facilitating seamless communication and organization among teams and vendors. - Users value the **ease of use** of Surefront, appreciating quick access to information and efficient project management. - Users value Surefront for its **user-friendly information access** , efficient project filters, and responsive customer service. - Users value the **centralized organization** of Surefront, enhancing communication and streamlining product development across teams. - Users value the **effective data management** of Surefront, enhancing collaboration and operational efficiency throughout product development. **Cons:** - Users experience **slow performance** , especially with multiple users, making navigation and collaboration challenging at times. - Users often experience **lagging performance** , especially during peak usage with multiple users and vendors accessing the system. - Users are frustrated by the lack of a **search functionality** , which hinders product navigation and slows down processes. - Users find the **inefficient search functionality** frustrating, leading to difficulty in quickly locating products and navigating the system. - Users experience occasional **performance issues** with Surefront, noting system slowness that affects their efficiency. #### What Are Recent G2 Reviews of Surefront? **"[The All-in-one tool for Production Managers](https://www.g2.com/survey_responses/surefront-review-11133299)"** **Rating:** 5.0/5.0 stars *— Ana C.* [Read full review](https://www.g2.com/survey_responses/surefront-review-11133299) --- **"[Helpful for product development across all teams](https://www.g2.com/survey_responses/surefront-review-10629257)"** **Rating:** 4.0/5.0 stars *— Erin F.* [Read full review](https://www.g2.com/survey_responses/surefront-review-10629257) --- ### 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: 8.5/10) **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/ (51 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 51% Mid-Market, 44% Small-Business #### What Are Recent G2 Reviews of Syncari? **"[Nicely Packaged Versatility and POWER](https://www.g2.com/survey_responses/syncari-review-9566623)"** **Rating:** 5.0/5.0 stars *— John M.* [Read full review](https://www.g2.com/survey_responses/syncari-review-9566623) --- **"[Good Experience using Syncari as an Integration Architect](https://www.g2.com/survey_responses/syncari-review-9550011)"** **Rating:** 5.0/5.0 stars *— MUSTAPHA I.* [Read full review](https://www.g2.com/survey_responses/syncari-review-9550011) --- #### What Are G2 Users Discussing About Syncari? - [What is Syncari used for?](https://www.g2.com/discussions/what-is-syncari-used-for) - 1 comment ### 21. [Verato MDM Cloud](https://www.g2.com/products/verato-mdm-cloud/reviews) Verato MDM Cloud™ is an enterprise master data management platform that helps organizations improve business outcomes with unprecedented identity intelligence. By unifying, enriching, and managing identities across systems of record, engagement, and insight, Verato MDM Cloud delivers a complete, trusted 360-degree view of people, providers, and relationships that powers better decisions everywhere. Verato MDM Cloud embeds AI-powered governance and automation across identity-driven processes. Intelligent stewardship resolves up to 75% of potential matches automatically while continuously improving data quality. Preconfigured healthcare data models, best-practice workflows, and out-of-the-box insights reduce manual effort, lower operating costs, and help teams focus on higher-value initiatives instead of ongoing data cleanup. By establishing trusted identity as the foundation, Verato MDM Cloud enables organizations to deliver better experiences, drive measurable business outcomes, and build AI and analytics strategies on a single source of truth. **Average Rating:** 4.6/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Verato MDM Cloud?** - **Data Governance:** 5.0/10 (Category avg: 9.0/10) - **Ease of Use:** 9.4/10 (Category avg: 8.5/10) **Who Is the Company Behind Verato MDM Cloud?** - **Seller:** [Verato](https://www.g2.com/sellers/verato) - **Company Website:** https://verato.com - **Year Founded:** 2012 - **HQ Location:** McLean, Virginia, United States - **LinkedIn® Page:** https://www.linkedin.com/company/verato (182 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Small-Business #### What Are Recent G2 Reviews of Verato MDM Cloud? **"[Easy to Use, Reliable System with Responsive Customer Service](https://www.g2.com/survey_responses/verato-mdm-cloud-review-12942989)"** **Rating:** 5.0/5.0 stars *— Verified User in Hospital & Health Care* [Read full review](https://www.g2.com/survey_responses/verato-mdm-cloud-review-12942989) --- **"[Transforms Healthcare Data Management with Ease](https://www.g2.com/survey_responses/verato-mdm-cloud-review-12806580)"** **Rating:** 5.0/5.0 stars *— Gary H.* [Read full review](https://www.g2.com/survey_responses/verato-mdm-cloud-review-12806580) --- ### 22. [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: 8.5/10) **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/ (19 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 30% Small-Business #### 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) ### What Do G2 Reviewers Say About BUCS? *AI-generated summary from verified user reviews* **Pros:** - Users value the **collaborative nature** of BUCS, feeling supported and seamlessly integrated into their data projects. - Users praise BUCS for its **responsive and knowledgeable customer support** , providing quick assistance for all needs. - Users appreciate the **seamless data integration** provided by BUCS, enhancing efficiency and delivering real-time insights effortlessly. - Users find BUCS to be **extremely easy to use** , providing seamless data aggregation and excellent customer support. - Users value the **easy integrations** provided by BUCS, enhancing productivity through seamless data aggregation and real-time reporting. **Cons:** - Users face **limitations of the APIs** , which can hinder their overall experience and usability of BUCS. - Users express concern over **data management issues** , desiring more real-time updates from BUCS for better efficiency. - Users face **dependency issues** due to API limitations, impacting overall functionality and user experience. - Users find the **lack of real-time data** in BUCS frustrating when seeking up-to-date information during critical times. - Users often face **sync issues** with BUCS, as updates occur only twice daily instead of in real time. #### What Are Recent G2 Reviews of BUCS? **"[Excellent partner, great data pipeline tool](https://www.g2.com/survey_responses/bucs-review-11222317)"** **Rating:** 5.0/5.0 stars *— Jack T.* [Read full review](https://www.g2.com/survey_responses/bucs-review-11222317) --- **"[BUCS is Amazing!](https://www.g2.com/survey_responses/bucs-review-11227370)"** **Rating:** 5.0/5.0 stars *— Austin S.* [Read full review](https://www.g2.com/survey_responses/bucs-review-11227370) --- ### 23. [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: 8.5/10) **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% Enterprise, 50% Mid-Market #### What Are Recent G2 Reviews of ClearMDM? **"[Giving better rates of sales conversion](https://www.g2.com/survey_responses/clearmdm-review-9851190)"** **Rating:** 4.5/5.0 stars *— Ashraf A.* [Read full review](https://www.g2.com/survey_responses/clearmdm-review-9851190) --- **"[Product information has streamlined our workflows](https://www.g2.com/survey_responses/clearmdm-review-9979944)"** **Rating:** 4.0/5.0 stars *— MAHRACH S.* [Read full review](https://www.g2.com/survey_responses/clearmdm-review-9979944) --- ### 24. [Discovery Hub](https://www.g2.com/products/discovery-hub/reviews) With over 3,000 global customers, Timextender offers a comprehensive suite of products including Data Integration, Master Data Management, Data Quality, and Orchestration. These tools enable organizations to automate and streamline complex data processes, ensuring high data quality and governance across platforms. Timextender’s solutions are designed to help businesses efficiently manage their data assets without extensive coding, empowering informed decision-making and driving operational efficiency​​. **Average Rating:** 4.3/5.0 **Total Reviews:** 147 **How Do G2 Users Rate Discovery Hub?** - **Hierarchy Management:** 5.0/10 (Category avg: 8.6/10) - **Ease of Use:** 8.4/10 (Category avg: 8.5/10) **Who Is the Company Behind Discovery Hub?** - **Seller:** [Timextender](https://www.g2.com/sellers/timextender) - **Company Website:** https://www.timextender.com - **Year Founded:** 2006 - **HQ Location:** Aarhus, DK - **Twitter:** @timextender (17,630 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/timextender/ (92 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Business Intelligence Consultant, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 45% Mid-Market, 34% Small-Business #### What Are Discovery Hub's Pros and Cons? **Pros:** - Ease of Use (67 reviews) - Customer Support (33 reviews) - Automation (25 reviews) - Simple (23 reviews) - Time-saving (22 reviews) **Cons:** - Limitations (18 reviews) - Data Management (17 reviews) - Poor Documentation (13 reviews) - Steep Learning Curve (11 reviews) - Error Reporting (9 reviews) ### What Do G2 Reviewers Say About Discovery Hub? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Discovery Hub, making data management accessible and efficient for all skill levels. - Users appreciate the **friendly and quick customer support** of Discovery Hub, enhancing their overall experience with the product. - Users value the **automation features** of Discovery Hub, significantly reducing time spent on data management tasks. - Users value the **user-friendly low-code interface** of Discovery Hub, simplifying the creation of data pipelines significantly. - Users find that TimeXtender provides a **time-saving solution** by automating data handling processes and optimizing workflows. **Cons:** - Users find **limitations in partial deployments** and handling large data volumes, restricting their flexibility and efficiency. - Users face a **steep learning curve** with data management and struggle with limited coding support and project deployment. - Users find the **poor documentation** of Discovery Hub frustrating, hindering effective use of RSD-files and coding assistance. - Users face a **steep learning curve** with TimeXtender, especially when adapting to RSD-files and complex data transformations. - Users find the **error reporting unclear** , leading to confusion and challenges, especially with multi-user deployments. #### What Are Recent G2 Reviews of Discovery Hub? **"[TimeXtender Classic is still a Classic!](https://www.g2.com/survey_responses/discovery-hub-review-11786389)"** **Rating:** 4.5/5.0 stars *— Benjamin P.* [Read full review](https://www.g2.com/survey_responses/discovery-hub-review-11786389) --- **"[Effortless Data Consistency and Automation](https://www.g2.com/survey_responses/discovery-hub-review-12028087)"** **Rating:** 4.0/5.0 stars *— Verified User in Insurance* [Read full review](https://www.g2.com/survey_responses/discovery-hub-review-12028087) --- #### What Are G2 Users Discussing About Discovery Hub? - [How do you use Timextender?](https://www.g2.com/discussions/how-do-you-use-timextender) - [Why use TimeXtender?](https://www.g2.com/discussions/why-use-timextender) - 1 comment - [What is Odx server?](https://www.g2.com/discussions/what-is-odx-server) - 2 comments - [What does TimeXtender do?](https://www.g2.com/discussions/what-does-timextender-do) ### 25. [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: 8.5/10) **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/ (113 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) ### What Do G2 Reviewers Say About DQLabs? *AI-generated summary from verified user reviews* **Pros:** - Users value the **comprehensive data quality coverage** offered by DQLabs, enhancing decision making and reducing errors. - Users find DQLabs's **ease of use** exceptional, thanks to its low-code design and effortless initial setup. - Users appreciate the **efficiency improvements** from DQLabs, enhancing data quality and decision-making through automation and ease of use. - Users value DQLabs for its **automated observability** , enhancing data management efficiency and ensuring continuous data trust. - Users benefit from DQLabs' **AI-driven anomaly detection** , simplifying data monitoring and identifying issues seamlessly. **Cons:** - Users feel that the **poor documentation** of DQLabs significantly hinders their ability to use the product effectively. - Users note the **product immaturity** , with some features still under development, impacting overall user experience. - Users may find interacting with **unstructured data challenging** , complicating their overall experience with DQLabs. - Users may experience difficulties with **unstructured data management** , which can complicate their overall experience with DQLabs. - Users feel the **customization options for data quality rules are too rigid** , limiting their ability to meet specific needs. #### What Are Recent G2 Reviews of DQLabs? **"[Intuitive DQ Platform with Cutting-Edge Features](https://www.g2.com/survey_responses/dqlabs-review-12028595)"** **Rating:** 4.5/5.0 stars *— Raghavendra V.* [Read full review](https://www.g2.com/survey_responses/dqlabs-review-12028595) --- **"[Automates Data Governance](https://www.g2.com/survey_responses/dqlabs-review-12020560)"** **Rating:** 4.5/5.0 stars *— Saran K.* [Read full review](https://www.g2.com/survey_responses/dqlabs-review-12020560) --- #### What Are G2 Users Discussing About DQLabs? - [How data quality is managed?](https://www.g2.com/discussions/how-data-quality-is-managed) - [What is augmented data management?](https://www.g2.com/discussions/what-is-augmented-data-management) - [What is augmented data quality?](https://www.g2.com/discussions/what-is-augmented-data-quality) ## 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.