Blog Post July 9, 2026 | 5 minutes read

How to Evaluate MDM Vendors in a Market Full of Acquisitions

As MDM vendors are acquired, their priorities shift. Learn what that means for your business and why independence matters when evaluating platforms.

See how you can turn trusted data into a competitive advantage

Get in touch

Select an AI tool to explore this article

How to Evaluate MDM Vendors in a Market Full of Acquisitions

Master Data Management Blog by Stibo Systems logo
| 5 minutes read
July 09 2026
How to Evaluate MDM Vendors in a Market Full of Acquisitions
9:18

Master Data Management (MDM) vendors are getting acquired at an accelerating pace. Most companies don't think deeply about what that means when they're evaluating a platform.

On the surface, acquisition can look like validation. "A bigger company believes in the technology." But an acquisition can change the business fundamentals in ways that aren't always obvious.

So, let's make them obvious. In this blog post, we'll look at the difference between the MDM providers who are acquired and those that remain independent.

In 2025 and 2026, two major acquisitions happened:

  • Informatica was acquired by Salesforce in 2025
  • Reltio was acquired by SAP in 2026

If you're using an acquired platform, or are just evaluating MDM platforms in general, understanding how acquisition affects vendor independence and priorities is crucial. This is a conversation that needs to happen.

But first:

Why big tech companies are buying MDM vendors now

With AI and agentic business operations, data reliability is mission-critical. For agents to make business decisions, they rely on trustworthy data.

The large software companies are acquiring MDM vendors because they need strong data foundations for their AI strategies.

Vendors staying independent are very different from the acquired ones

An independent MDM platform is owned and operated by a company with one mission: MDM excellence. Not a division of a larger software company. Not one feature among dozens in an integrated suite.

When a vendor is independent, everything flows from that single focus – the roadmap, investment decisions and customer success.

It affects your budget

The difference shows up in resource allocation. An independent vendor's entire engineering team works on MDM. An acquired vendor splits resources between MDM and parent company priorities.

The example of Informatica and Reltio

Informatica was independent. Salesforce acquired it in 2025. Now it's a Salesforce product. Customer data management features get built on Salesforce's timeline, with Salesforce's strategic priorities. The company still exists, but the mission changed.

Same pattern with Reltio. SAP acquired it in 2026. Reltio is now part of SAP's data strategy. Feature decisions, support resources, roadmap investments... All subject to SAP's priorities.

When your vendor is independent, their mission stays focused on you.

What happened – or happens – to Informatica and Reltio customers after acquisition

When a vendor gets acquired, ownership changes instantly. What follows is a sequence of organizational decisions that has the potential to reshape how the product develops and how customers get supported.

Informatica after Salesforce

Informatica's roadmap is now aligned with Salesforce CRM and cloud priorities.

The question is how it will affect MDM-specific innovation. Will feature requests from MDM customers compete successfully against Salesforce's platform objectives?

Support is being integrated into Salesforce's organization. This means MDM expertise that was specialized is now part of a much larger support structure. It remains to be seen how responsiveness and specialization will change in that environment.

Reltio after SAP

Reltio's customer data management capability now exists as one offering within SAP's broader Business Data Cloud and AI strategy. The roadmap and feature decisions will be influenced by SAP's enterprise software objectives, not solely by MDM customer needs.

As usual, when support scales into a larger organization, depth often trades off against breadth. So, when you evaluate their support, pay attention to support specialization. Is solving complex MDM problems still a priority?

Important questions when you evaluate MDM vendors

  • Will future roadmap innovation be driven by MDM requirements or by the parent company platform strategy?
  • How will support specialization change as it becomes part of a larger organization?
  • Will there be incentive – or pressure – to adopt the parent company's broader ecosystem?
  • How might pricing evolve once the product is bundled with parent company offerings?

Once you commit to a platform, switching is expensive. Data dependencies form. Teams get trained. Business processes integrate. By the time you evaluate vendor fit, your options narrow.

Why having an independent MDM vendor makes sense for your long-term strategy

Your roadmap competes on merit

An independent vendor's roadmap belongs to their customers (you).

When you ask for a feature, it stands on its own against other customer requests.

An acquired vendor's roadmap is already spoken for. Your feature request competes against parent company priorities. Those priorities almost always win.

Your investment stays valuable

When you implement MDM, you're:

  • Training teams
  • Building integrations
  • Tying business processes to the platform

An independent vendor has incentive to keep your investment valuable. An acquired vendor can simplify or deprioritize the product without warning. Your multi-year investment becomes a sunk cost.

You can grow across data domains

Most companies start with one data domain – like customer data. Then they need product data. Then supplier data. Then asset or location data.

An independent vendor can serve all domains equally – which is critical in the age of AI – because their entire roadmap is about data mastery.

An acquired vendor is incentivized to focus on parent company strengths. You'll likely outgrow it faster than you think.

Your use cases stay supported

Customer requirements don't fit pre-built templates. An independent vendor has learned this. They optimize for your success in their core business. An acquired vendor optimizes for parent company integration.

When your use case doesn't fit their parent's architecture, you have limited options.

You have less risk of dual ecosystem complexity

An independent vendor builds a focused partner network around MDM excellence. An acquired vendor's partners juggle two ecosystems now. There is a risk that this leads to:

  • Integrations getting more complex
  • Implementation slowing down
  • Costs going up

Alignment determines long-term success

Last, but not least: When your vendor bets everything on MDM excellence, their success is your success.

When they're acquired, their success belongs to their parent company. Those two outcomes diverge over time.

How to find an MDM vendor that stays focused on you

The industry is consolidating. Informatica and Reltio are just two examples – there will be more. So, before you commit to an MDM platform, make sure they are likely to stay with you for the long haul.

Watch out for the red flags

Recent acquisition by a larger tech company is the clearest signal. That's obvious. If it happened in the last two years, pay attention to what's changed.

Roadmaps driven by parent company priorities rather than what customers ask for suggest the vendor has split loyalties. Ask them directly: "What percentage of your roadmap comes from customer requests versus parent company strategy?"

Limited customer success across different industries often means the vendor was built for one specific problem. Check their customer list.

  • Are they strong in retail but weak in pharma?
  • Do they mostly sell to financial services?
  • Or do they have genuine experience across multiple sectors?

If Support is integrated into a parent organization, that typically means response times slow. Specialized expertise gets diluted. Feature sets borrowed from parent company tools reveal where money is actually going.

Vendors that push ecosystem integrations with their parent company over standalone capabilities are signaling what matters to them now. Pricing models that bundle parent company services together suggest you'll feel pressure to adopt the whole stack.

Leadership departures are another red flag. Especially when the founder or original product leader leaves – often following the acquisition. And watch for marketing language that shifts from talking about the core product to talking about parent company advantages.

When that happens, their mission has changed.

Often, when companies realize these things, they are already locked in. It may be too expensive to migrate and to have their team learn a new system. And their business processes already depend on it, so switching would be expensive and disruptive.

The time to evaluate independence is before you sign, not years later

Independence should be a real factor in how you evaluate vendors. Your vendor should be betting the company on your success – not on their parent company's.

Look at the 2026 Gartner® Magic Quadrant™ for Master Data Management Solutions. Which vendors stayed independent? Where do they sit? In our view, that positioning tells you something about stability.

At Stibo Systems, we are built to stay independent

Stibo Systems is foundation-owned. Our ownership structure legally prevents a larger company from buying us.

Because we can't be bought, our roadmap stays focused on what our customers need. We're recognized as a Leader in the 2026 Gartner Magic Quadrant for Master Data Management Solutions. And in our view, we're the largest independent MDM vendor in the market.

If you're evaluating MDM platforms, you already know the stakes. You've seen what happens when vendors get acquired, so you understand that independence matters.

STEP, our trusted intelligence platform, is proudly built to stay independent.

Gartner, Magic Quadrant for Master Data Management Solutions, By Stephen Kennedy et. al, 6 April 2026.

GARTNER is a trademark of Gartner, Inc. and/or its affiliates. Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

Master Data Management Blog by Stibo Systems logo

Stibo Systems is a leading enabler of trustworthy data through AI-powered master data management. Built on a robust and flexible platform, our SaaS solutions empower enterprises around the globe to deliver superior customer and product experiences. Our trusted data foundation enhances operational efficiency, drives growth and transformation, supports sustainability initiatives and bolsters AI success. Headquartered in Aarhus, Denmark, Stibo Systems is a privately held subsidiary of Stibo Software Group, which guarantees the long-term perspective of the business through foundational ownership.

Connect on:

Discover blogs by topic

  • See more
  • AI
  • Automotive
  • Business Partner Data Cloud
  • Compliance and risk management
  • Consumer packaged goods
  • Customer Experience Data Cloud
  • Customer and party data
  • Customer experience and loyalty
  • Data compliance
  • Data delivery
  • Data governance
  • Data integration
  • Data modeling
  • Data quality
  • Data sharing
  • Data sourcing
  • Digital asset management
  • Digital shelf analytics
  • ERP success
  • Enhanced content
  • Financial services
  • Life sciences
  • Location Data Cloud
  • Location data
  • MDM strategy
  • Manufacturing
  • Multidomain data
  • Operational efficiency
  • Platform
  • Product Experience Data Cloud
  • Product data and PIM
  • Product data syndication
  • Product onboarding
  • Retail
  • Supplier Data Cloud
  • Supplier data
  • Sustainability
  • Translation and localization
  • User experience
July 9, 2026

How to Evaluate MDM Vendors in a Market Full of Acquisitions

July 8, 2026

Why Agentic AI Demands a Digital Twin of the Business

June 19, 2026

AI Systems Want Clean Data – But They NEED Governed Intelligence

June 17, 2026

Bosch and Stibo Systems Partner for Enterprise Data Transformation

June 17, 2026

With Semantic Master Data, Your AI Stops Guessing and Starts Understanding What You Want

June 17, 2026

5 Hidden Costs of Bad Customer Data in Retail (and How to Avoid Them)

June 12, 2026

The Complete PIM Features Guide: The Capabilities You Need for Successful Data Strategies

June 12, 2026

5 Product Data Problems That Make Your Brand Invisible in AI Search

June 11, 2026

4 Common Master Data Management Implementation Styles

June 11, 2026

Designing Trust in Agentic Enterprise Systems

June 8, 2026

AI and Master Data: The Business Powerhouse

June 8, 2026

Master Data Meets Microsoft Fabric: Building a Trusted Foundation for AI and Analytics

June 4, 2026

7 Signs Your Brand Is Losing Ground in Agentic Commerce

June 1, 2026

The Future of Master Data Management: Trends in 2026

June 1, 2026

What is a Data Domain? Meaning & Examples

May 28, 2026

8 Best Practices for Customer Master Data Management

May 27, 2026

Data Migration to SAP S/4HANA ERP: The Fast and Safe Approach with MDM

May 25, 2026

Model Context Protocol (MCP): The Missing Layer for AI Systems That Interact with Enterprise Data

May 21, 2026

Better Together: CRM and Customer Master Data Management

May 21, 2026

4 Supplier Onboarding Taxes That Drain Margin Every Day – and How Agentic AI Fixes Them

May 20, 2026

The 7 Types of Customer Data Your AI Agents Can't Ever Act Without

May 19, 2026

What Is Master Data Governance – And Why Do You Need It?

May 18, 2026

The Difference Between Master Data and Metadata

May 13, 2026

Product Attribution Strategies That Convert Searchers into Buyers

May 12, 2026

How to Choose the Right Master Data Management Solution

May 12, 2026

PIM and MDM: Key Differences, Benefits and How They Work Together

May 12, 2026

5 CPG Industry Trends and Opportunities for 2026

May 11, 2026

A Quick Guide to Golden Customer Records and How to Create Them with Master Data Management

May 11, 2026

What is Master Data Management? A Complete Guide

May 11, 2026

Master Data Management Roles and Responsibilities

May 8, 2026

What is Application Data Management and How Does It Differ From MDM?

April 30, 2026

6 Features of an Effective Master Data Management Solution

April 22, 2026

What is the difference between CPG and FMCG?

April 17, 2026

Most Common ISO Standards in the Manufacturing Industry

March 18, 2026

A Complete Master Data Management Glossary

February 24, 2026

BIC's Blueprint for Conquering Complex Global Product Data Challenges

February 17, 2026

Product 360 After the Salesforce Acquisition: Why You Need to Map Out a Plan B

January 13, 2026

Discover the Value of Your Data: Master Data Management KPIs & Metrics

January 13, 2026

Solving Retail Data Fragmentation: The Key to Consistent Customer Journeys

December 10, 2025

Is Your PIM Strategy Future-Ready? 3 Takeaways from the SPARK Matrix™ Report

December 9, 2025

Product Listing Page Best Practices: How to Create Better Product Listings with PIM

December 8, 2025

The Board of Directors’ Guide to Selecting Product Experience Software (With Checklist)

December 5, 2025

5 PIM Trends That Will Define 2026 and the Near Future (And How to Prepare for Them)

December 4, 2025

Process Insurance Claims Faster with Trusted Data

December 4, 2025

10 Dangerous Myths About Managing Your B2B Partner and Account Data

December 3, 2025

Fixing Fragmented Customer Account Data: Stop Losing Revenue and Trust

December 2, 2025

How Master Data Management Keeps Manufacturers Compliant — From Design to Delivery

November 20, 2025

What is Manufacturing-as-a-Service (MaaS)?

November 18, 2025

AI in Retail: How to Make Your Data Ready to Use in Microsoft Fabric

November 17, 2025

What is Party Data? All You Need to Know About Party Data Management

November 4, 2025

Consumers are Using AI-Powered Tools to Shop Smarter: Why Retail Data Trust Matters More than Ever

October 29, 2025

CDP and MDM: Complementary Forces for Enhancing the Customer Experience

October 27, 2025

How to Estimate ROI of Master Data Management

October 20, 2025

Managing Product Complexity: Leveraging Custom Product Management with BOM-Level Precision

October 2, 2025

How CPG Brands Scale D2C Business Without Breaking What Already Works

September 24, 2025

How Leading Brands Built Trusted Data with Amplifi and Stibo Systems

September 11, 2025

Is Your Data the Cause of Flawed AI Outputs?

September 8, 2025

What’s Next for GenAI in Product Experiences?

August 13, 2025

The 5 Biggest Retail Trends in 2026

August 12, 2025

From Zero to Launch in Under 6 Months: A Quick Guide to Deploying Master Data Management

August 5, 2025

How Operations Leaders are Modernizing Manufacturing Data Without Halting Production

August 4, 2025

Digital Product Passports: The Data Management Mandate

August 1, 2025

How to Improve Back-End Systems Using Master Data Management

July 9, 2025

How to Get More Value from Your Data: The Benefits of Master Data Management

June 26, 2025

PIM explained: How Product Information Management transforms data quality

June 11, 2025

How CPG Сompany Bonduelle Сentralized Product Data Across 37 Countries

June 10, 2025

Master Data Management Tools: A Complete Guide

May 23, 2025

How Signet Jewelers Built Trust in Its Retail Data

May 12, 2025

Manufacturing Trends and Insights in 2026

April 15, 2025

5 Key Trends in Product Experience Management

April 4, 2025

Trust the Machine: Making AI Automation Reliable in Master Data Management

April 2, 2025

How Agentic Workflows Are Changing Master Data Management at the Core

March 17, 2025

What is Smart Manufacturing and Why Does it Matter?

March 11, 2025

How to Implement Master Data Management: Steps and Challenges

March 7, 2025

MDM and AI: Real-World Use Cases and Learnings From OfficeMax and Motion Industries

February 27, 2025

Reyes Holdings' MDM Journey to Better Data

February 3, 2025

4 Trends in the Automotive Industry

January 29, 2025

How to Choose the Right Data Quality Tool?

January 28, 2025

AI Adoption: A High-Stakes Gamble for Business Leaders

January 27, 2025

All You Need to Know About Supplier Information Management

January 27, 2025

How Kramp Optimizes Internal Efficiency with Data Strategy

January 27, 2025

From Patchwork to Precision: Moving Beyond Outdated and Layered ERP Systems

January 24, 2025

Thriving Beyond NRF 2025 with Trustworthy Product Data

January 23, 2025

Building the Future of Construction with AI and MDM

January 17, 2025

Why Addressing Data Complexity in Pharmaceutical Manufacturing Is Critical

January 17, 2025

How URBN Leverages Data Management to Support Its Sustainability Information  

January 14, 2025

An Introductory Guide to Supplier Compliance

January 6, 2025

How to Avoid Bad Retail Customer Data

December 17, 2024

How to Implement Data Governance

December 11, 2024

Gen Z: Seeking Excitement Beyond Amazon

December 10, 2024

A Modern Guide to Data Quality Monitoring: Best Practices

December 9, 2024

What is Supply Chain Analytics and Why It's Important

December 5, 2024

What is Supplier Lifecycle Management?

December 3, 2024

Using Machine Learning and MDM CBAM for Sustainability Compliance

November 25, 2024

AAPEX and SEMA: The Automotive Aftermarket Industry’s Mega-Showcase

October 22, 2024

Live Shopping: How to Leverage Product Information for Maximum Impact

October 16, 2024

Why Data Accuracy Matters for CPG Brands

October 15, 2024

Why Choose a Cloud-Based Data Solution: On-Premise vs. Cloud

September 23, 2024

How Master Data Management Can Enhance Your ERP Solution

September 20, 2024

Navigating Change: Engaging Business Users in Successful Change Management

September 11, 2024

What is Digital Asset Management?

September 3, 2024

How to Improve Your Data Management

August 30, 2024

Digital Transformation in the CPG Industry

August 27, 2024

Responsible AI Relies on Data Governance

August 19, 2024

Making Master Data Accessible: What is Data as a Service (DaaS)?

August 13, 2024

Great Data Minds: The Unsung Heros Behind Effective Data Management

August 6, 2024

A Data Monetization Strategy - Get More Value from Your Master Data

August 4, 2024

Introducing the Master Data Management Maturity Model

July 31, 2024

What is Augmented Data Management? (ADM)

July 17, 2024

GDPR Data Governance and Data Protection, a Match Made in Heaven?

April 11, 2024

Guide: Deliver flawless rich content experiences with master data governance

April 10, 2024

Risks of Using LLMs in Your Business – What Does OWASP Have to Say?

April 9, 2024

Guide: How to comply with industry standards using master data governance

April 2, 2024

Guide: Get enterprise data enrichment right with master data governance

April 2, 2024

Guide: Getting enterprise data modelling right with master data governance

April 2, 2024

Guide: Improving your data quality with master data governance

March 25, 2024

How to Get Rid of Customer Duplicates

March 18, 2024

5 Tips for Driving a Centralized Data Management Strategy

February 20, 2024

5 Key Manufacturing Challenges in 2025

February 20, 2024

How to Enable a Single Source of Truth with Master Data Management

February 12, 2024

What is Data Quality and Why It's Important

February 7, 2024

Data Governance Trends 2026

February 6, 2024

What is Data Compliance? An Introductory Guide

January 18, 2024

How to Build a Master Data Management Strategy

January 16, 2024

The Best Data Governance Tools You Need to Know About

December 19, 2023

Building Supply Chain Resilience: Strategies & Examples

November 29, 2023

Shedding Light on Climate Accountability and Traceability in Retail

November 13, 2023

Location Analytics – All You Need to Know

October 16, 2023

Understanding the Role of a Chief Data Officer

October 5, 2023

5 Common Reasons Why Manufacturers Fail at Digital Transformation

September 29, 2023

How to Digitally Transform a Restaurant Chain

September 14, 2023

Three Benefits of Moving to Headless Commerce and the Role of a Modern PIM

July 6, 2023

12 Steps to a Successful Omnichannel and Unified Commerce

June 28, 2023

Navigating the Current Challenges of Supply Chain Management

April 6, 2023

Product Data Management during Mergers and Acquisitions

March 1, 2023

Asset Data Governance is Central for Asset Management

February 14, 2023

How to Leverage Internet of Things with Master Data Management

February 13, 2023

Sustainability in Retail Needs Governed Data

January 4, 2023

Innovation in Retail

November 21, 2022

Life Cycle Assessment Scoring for Food Products

November 14, 2022

Retail of the Future

November 7, 2022

Omnichannel Strategies for Retail

November 5, 2022

Hyper-Personalized Customer Experiences Need Multidomain MDM

October 25, 2022

What is Omnichannel Retailing and What is the Role of Data Management?

October 17, 2022

How to Get Started with Master Data Management: 5 Steps to Consider

October 1, 2022

An Introductory Guide: What is Data Intelligence?

September 15, 2022

Revolutionizing Manufacturing: 5 Must-Have SaaS Systems for Success

August 25, 2022

Digital Transformation in the Manufacturing Industry

August 17, 2022

Master Data Management Framework: Get Set for Success

June 15, 2022

Supplier Self-Service: Everything You Need to Know

June 14, 2022

Omnichannel vs. Multichannel: What’s the Difference?

June 10, 2022

Create a Culture of Data Transparency - Begin with a Solid Foundation

May 31, 2022

What is Location Intelligence?

May 30, 2022

Omnichannel Customer Experience: The Ultimate Guide

May 24, 2022

Omnichannel Commerce: Creating a Seamless Shopping Experience

May 11, 2022

Top 4 Data Management Trends in the Insurance Industry

May 1, 2022

What is Supply Chain Visibility and Why It's Important

April 21, 2022

The Ultimate Guide to Data Transparency

April 20, 2022

How Manufacturers Can Shift to Product as a Service Offerings

April 16, 2022

How to Check Your Enterprise Data Foundation

April 14, 2022

An Introductory Guide to Manufacturing Compliance

March 31, 2022

Multidomain MDM vs. Multiple Domain MDM

March 23, 2022

How to Build a Successful Data Governance Strategy

March 22, 2022

What is Unified Commerce? Key Advantages & Best Practices

March 17, 2022

6 Best Practices for Data Governance

March 16, 2022

5 Advantages of a Master Data Management System

February 24, 2022

Supply Chain Challenges in the CPG Industry

February 14, 2022

Top 5 Most Common Data Quality Issues

February 10, 2022

What Is Synthetic Data and Why It Needs Master Data Management

February 8, 2022

What is Cloud Master Data Management?

January 28, 2022

Build vs. Buy Master Data Management Software

January 27, 2022

Why is Data Governance Important?

January 24, 2022

Five Reasons Your Data Governance Initiative Could Fail

January 21, 2022

How to Turn Your Data Silos Into Zones of Insight

January 16, 2022

How to Improve Supplier Experience Management

January 16, 2022

​​How to Improve Supplier Onboarding

January 11, 2022

What is a Data Quality Framework?

January 4, 2022

The Ultimate Guide to Building a Data Governance Framework

December 20, 2021

The Dynamic Duo of Data Security and Data Governance

December 20, 2021

How to Choose the Right Supplier Management Solution

December 6, 2021

How Data Transparency Enables Sustainable Retailing

December 1, 2021

What is Supplier Performance Management?

November 7, 2021

The Complete Guide: How to Get a 360° Customer View

October 29, 2021

How Location Data Adds Value to Master Data Projects

October 15, 2021

What is a Data Mesh? A Simple Introduction

September 2, 2021

10 Signs You Need a Master Data Management Platform

August 31, 2021

What Vendor Data Is and Why It Matters to Manufacturers

August 25, 2021

3 Reasons High-Quality Supplier Data Can Benefit Any Organization

August 9, 2021

What is Reference Data and Reference Data Management?

July 25, 2021

GDPR as a Catalyst for Effective Data Governance

May 12, 2021

How to Become a Customer-Obsessed Brand

April 27, 2021

How to Create a Master Data Management Roadmap in Five Steps

April 13, 2021

What is a Data Catalog? Definition and Benefits

April 8, 2021

How to Improve the Retail Customer Experience with Data Management

March 25, 2021

Business Intelligence and Analytics: What's the Difference?

March 21, 2021

What is a Data Lake? Everything You Need to Know

February 24, 2021

Are you making decisions based on bad HCO/HCP information?

December 15, 2020

5 Trends in Telecom that Rely on Transparency of Master Data

November 19, 2020

10 Data Management Trends in Financial Services

October 29, 2020

What Is a Data Fabric and Why Do You Need It?

Let’s get started

Ready to see how trustworthy intelligence turns data into confident decisions? Let’s chat.

2