The Forrester Wave™: Master Data Management, Q2 2023

Master Data Management Vendor Product Comparisons 2023

Key features and pros and cons of top Master Data Management products:

Informatica - Leaders

Pros:

AI-assisted MDM provides faster time to value and deployment through CLAIRE AI engine
Multicloud deployment capabilities across on-premises, public clouds, and multicloud environments
Prebuilt industry accelerators across insurance, finance, life sciences, and healthcare
Strong capabilities in automated merging, trustworthiness for survivorship, data governance, and data quality rule recommendation
Excellent customer service and ease of use

Cons:

Could be perceived as costly for certain scenarios, leading to potential lags in user adoption
Customers seeking more flexibility in pricing model
On par with competition (not leading) in providing reference data sources for enrichment, compliance, fine-grained access control, and auditing capabilities

Reltio - Leaders

Pros:

Real-time AI-driven MDM delivers exceptional data quality and customer 360 capabilities
Cloud-native solution with sophisticated ML models for entity integration across domains
API-first approach to deliver master data-as-product with prebuilt integrations to cloud data warehouses
Leading real-time data streaming and processing capabilities
Strong UI, search features, ease of interdomain navigation, and data reliability

Cons:

Could benefit from expanding technology partner ecosystem
Need for more transparency in pricing and improved data lineage
Could enhance offering by pivoting from UI-based configuration to automated mapping, consolidation, and lineage
Better customer support needed according to reference customers

SAP - Leaders

Pros:

Mature, governed, and compliant multidomain MDM solution
Large customer base and strong ecosystem of products and partners
Multiple business templates based on years of industry presence
Good integration with SAP applications
Dynamic scaling, sync options, enrichment sources, and audit trail capabilities
Rule-mining for data quality improvement

Cons:

Absence of native lineage capability
Lagging AI capabilities - improvements needed to enhance automated integration, traceability, and overall time to value
Reference customers highlighted struggles with non-SAP integrations
Requires technical resources to make non-SAP integrations work

TIBCO Software - Leaders

Pros:

Model-driven, domain-agnostic MDM with remarkable range of pricing options
Easy to track and understand usage through TIBCO Control Plane
Exceptional data integration using metadata plane for automation
Dynamic scaling with customer-specified sync triggers
Configurable validations and multiple standards for compliance support

Cons:

Limited capabilities in delivering entity 360 views and data intelligence (especially governance)
Limited out-of-the-box business templates for key industries impacts time to value
Roadmap doesn't fully live up to innovation plans with comparatively low R&D spend
Reference customers mentioned lack of industry-specific data domains and accelerator packs

Ataccama - Strong Performers

Pros:

Unified platform approach with data intelligence capabilities natively integrated
Explainable AI for business and technical processes
Strong support for data integration, matching, merging, and enrichment
Embedded data quality validations, stewardship workflows, access control, traceability, and metadata management
Easy to use even for fresh graduates with minimum training according to reference customers

Cons:

Lagging scalability - needs to scale dynamically and offer multiple sync options
Limited support for product domain with native connectors to PIM and DAM
Configuration challenges - some customers reported spending more than six months for simple go-live
Strategy lags in partner ecosystem (number and variety) and pricing options

IBM - Strong Performers

Pros:

Integrated part of data fabric portfolio (IBM Cloud Pak for Data)
Differentiated innovation driven by data fabric and metadata capabilities
Role-based access control and multiple compliance standards for various industries
Good for large companies with complex ecosystems requiring data fabric architecture

Cons:

Limited reference data sources for data enrichment
Limited traceability of data transformations and lack of automations leading to longer time to value
Roadmap focuses more on data fabric than automating MDM capabilities
Complicated pricing due to mix of consumption, storage, and compute
Declined to participate in full Forrester Wave evaluation process

Semarchy - Strong Performers

Pros:

Demonstrates strong time to value without requiring highly skilled resources
Infrastructure deployment requires only part-time technical support
Good multidomain experience, individual domain support, rule-based data quality
Bi-temporal modeling for traceability
Lower budget option suitable for companies that can compromise on some advanced features

Cons:

Lags in data enrichment capabilities
Lack of ML automation in data integration
Limited native reference data and security capabilities
Survivorship is challenging especially when complexity of match and merge increases
Roadmap for innovation is stretched in areas of data intelligence, UI, and architecture

Stibo Systems - Strong Performers

Pros:

Unparalleled product-driven multidomain MDM leveraging strong PIM solution
Excellence in product 360 and data integration
High quality reference data for enrichment
Dynamic survivorship using automation and accurate data validation
MDM Academy helps with training, adoption, and improving utilization

Cons:

Lags in lineage capabilities
Missing hybrid and multicloud deployment options (only on-premises and public cloud)
Facing scalability challenges with high volumes of data
Complex consumption-based pricing impacts transparency
Reference customers looking for better customer service and pricing options

Syndigo - Strong Performers

Pros:

Cloud-native multidomain MDM that is flexible and scalable
Strong content management for product assists in comprehensive product 360
Dynamic scaling and multiple sync options across apps and distributed locations
Matching with continuously trained AI
Ease of mastering and enrichment appreciated by reference customers

Cons:

Should improve lineage capabilities - lags in providing dynamic masking and lineage outside platform
Limited user adoption of full product suite (only one-third using entire suite)
Primarily consumption-based pricing layered with many add-ons restricts flexibility and transparency
Reference customers looking for better survivorship control and business templates for non-product domains

Precisely - Contenders

Pros:

Cost-effective MDM solution
Integrates data enrichment within mastering workflows
Integration with PIM provides product 360 view supporting unstructured product data
Native connectors and preconfigured data governance frameworks
Flexible pricing options ranging from customized to consumption-based

Cons:

Trails in entity mastering capabilities
Lacking business templates for key industries
Knowledge graph, fine-grained access control, data encryption, and compliance certifications need improvement
Entity resolution and survivorship capabilities not sophisticated enough according to reference customers
Limited partnerships leveraged more for implementations than product innovation

Profisee - Contenders

Pros:

Great for Azure shops - leverages Microsoft Purview for data governance
Drives product adoption through Profisee Academy and customer success team
Reliable multidomain experience and data mastering with continuously trained AI
Dynamically scalable with role-based access control
Reference customers like multidomain connectivity and business process improvements

Cons:

Lags in integration - limited automation and knowledge-graph impedes data integration and entity 360 view
Falls short on compliance - limited consent management, compliance validation, and certification
Full matching capabilities only available on Enterprise Edition
Requires skilled technical resources for integrations
Vision lags in addressing key customer needs like augmented data quality or unified data governance

Prospecta Software - Contenders

Pros:

Flexible pricing MDM with multiple options from customized to consumption-based
Supports customer 360 with multiple prebuilt models and persona-based views
Serves multiple industries with templates and supports federated governance
Remarkable time to value when SAP systems are involved
Continuous customer support and platform improvements

Cons:

Could benefit from data quality advancements - lacks rule-mining for data quality
Lags in native enrichment, traceability, and dynamic survivorship and scalability
Lack of knowledge graph hurts multidomain and entity 360 capabilities
Delivery roadmap weaker around improvements in AI, UI, and non-SAP systems integrations
Only a few customers on current product version

Tamr - Contenders

Pros:

Excels in mastering with unmatched patented ML
Natively stored high quality data for enrichment enables faster time to value
Real-time data integration and customer 360 views
Reference customers appreciate customer service, pricing, and matching/merging capabilities
Good for quick consolidation of data for specific use cases

Cons:

Data intelligence and multidomain capabilities are lagging
Roadmap missing improvements in data lineage, governance, and security
Limited interconnection between domains and lacks knowledge graph support
Limited masking, access control, compliance standards, and security certifications
Low adoption - customers utilize for individual use cases, not continuous basis

Viamedici - Contenders

Pros:

PIM-led multidomain MDM with exceptional product 360 capabilities
Real-time matching and merging with integrated data enrichment
Impressive adoption and large user base with regular training
Extensive partnerships spanning systems integrators, technology, and innovation
Dynamic scaling, multiple sync options, and granular access control

Cons:

Lags in data governance and lineage - limited governance federation and traceability
Vision limited to product-related capabilities and specific industries
Limited AI/ML-driven automation and real-time connectors
Lacking support for multiple compliance standards with automated validations
Reference customers note limited native connectors requiring extensive integration work

Syniti - Challenger

Pros:

Scalable low-cost MDM solution
Good matching, merging, and traceability across systems
Offers knowledge packs for industries
Overall time to value by leveraging unified platform
Technical knowledge and expertise appreciated by reference customers

Cons:

End-to-end multidomain is challenging - lags in delivering interconnected domains
Limited innovation in modern MDM capabilities and advanced AI/ML
Lacks enriched entity profiles and advanced AI for data integration
Automated rule-mining, compliance validations, and fine-grained access control need improvement
Customers struggle to sustain system without skilled resources
Declined to participate in full Forrester Wave evaluation process

FAQs

Q: Which vendors are Leaders in 2023?

A: Informatica, Reltio, SAP, TIBCO Software

Q: What does "Leader" mean in Forrester Wave terms?

A: Leaders in the Forrester Wave for Master Data Management have the strongest current offerings and strategies in the market. They demonstrate: 1) Superior vision focused on enhancing MDM's role in digital transformations and data fabric architecture; 2) Strong innovation in AI/ML capabilities for automating data quality, governance, and mastering processes; 3) Comprehensive current offerings including real-time data streaming, multidomain capabilities, strong data quality and governance, and excellent customer 360/product 360 views; 4) Robust partner ecosystems and high customer adoption; 5) Flexible deployment options (on-premises, public cloud, multicloud); 6) Industry accelerators and business templates that improve time to value; and 7) Native integration of complementary capabilities like PIM, DAM, data classification, and profiling for a seamless customer experience.

Q: How do I interpret a Forrester Wave?

A: https://www.forrester.com/policies/forrester-wave-methodology/

Report:

Top Vendor Products for Master Data Management in 2023

Master Data Management Vendor Product Comparisons 2023

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FAQs

Q: Which vendors are Leaders in 2023?

Q: What does "Leader" mean in Forrester Wave terms?

Q: How do I interpret a Forrester Wave?

Reference