The Fastest MDM Platform
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Semarchy is Simply Better.
Accelerate your ROI with a complete Master Data Management solution.
Discover why 100% of customers in the past 12 months would recommend Semarchy.
See for yourself how fast, easy, and affordable MDM can be.
Semarchy vs Profisee
Top-Ranked MDM Solution vs Not So Much
 | Profisee |
|---|---|
| Magic Quadrant Leader, 100% Would Recommend: Semarchy is the only 2021 Gartner® Magic Quadrant™ Leader for Master Data Management to receive a Gartner Peer Index 100% rating from customers for willingness to recommend in the past 12 months. | Not So Much |
| Most Platforms: Semarchy runs on Microsoft SQL Server, Oracle, Postgres, Microsoft Windows, AWS, Linux, and others. | Not So Much: Profisee is mostly limited to Microsoft Azure Architecture. |
| Easy, Drag & Drop Workflow Configuration: Semarchy’s workflow development is contained within the Semarchy application and requires little to no configuration. | Not So Much: Profisee requires a Microsoft Visual Studio developer for custom workflows. |
Transparent, Controllable Costs: Semarchy pricing is based on the number of golden records in production. This is a cost you can control. Semarchy has no hidden fees. Clients can operate any number of instances, production or non-production such as Dev, Test, QA, UAT, DR, Clustered or non-clustered Prod, etc. You can have any number of:
| Not So Much: With Profisee, each instance, domain and record can be an added cost. |
Bottom Line: Semarchy, the only 2021 Gartner® Magic Quadrant™ Leader for Master Data Management to receive a Gartner Peer Index 100% customer rating, is a better looking and easier to configure tool that has vastly superior matching, survivorship and data validation engine.
Semarchy is a recognized leader in data management
Show me how to accelerate my ROI with MDM that really works.
“The value of seeing the ins and outs of Chipotle’s operations is priceless. You’re able to make faster decisions and that’s an advantage in this market.”
“We’ve really increased the trust in our data across the organization, through our data quality standards, metrics and measures.”
“By proving the value, showing the benefits of the use cases and providing transparency on the rules of data management, leadership could see the benefits and get on board.“
