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Informatica Intelligent Data Management Cloud (IDMC) vs Riversand MDMCenter comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Riversand MDMCenter
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
3
Ranking in other categories
Master Data Management (MDM) Software (14th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Informatica Intelligent Data Management Cloud (IDMC) is designed for Data Management Platforms (DMP) and holds a mindshare of 14.1%, down 16.1% compared to last year.
Riversand MDMCenter, on the other hand, focuses on Master Data Management (MDM) Software, holds 1.5% mindshare, down 1.8% since last year.
Data Management Platforms (DMP) Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)14.1%
Palantir Foundry25.2%
Cloudera Data Platform6.2%
Other54.5%
Data Management Platforms (DMP)
Master Data Management (MDM) Software Market Share Distribution
ProductMarket Share (%)
Riversand MDMCenter1.5%
SAP Master Data Governance20.4%
Microsoft MDS12.9%
Other65.2%
Master Data Management (MDM) Software
 

Featured Reviews

SaurabhGaonshindhe - PeerSpot reviewer
Modular structure and AI features stream new reporting processes
One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.
SS
A user-friendly data management software with a valuable matching feature
Integration could be better. Riversand is majorly focusing on only the MDM hub part. They don't have their own integration platform. We have to rely on a third-party integration partner. They say this is the format, and it's the client's responsibility to bring the data into their required format. They have to have an integration partner and develop their integration capabilities. It's not so flexible to read any data format or system, for example, SAP. They don't have a connector.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"Informatica MDM has data quality, mastering the data's capability."
"The fuzzy matching capability is a great feature."
"The product's most valuable feature is the ability to select the data flow and lineage."
"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."
"Informatica MDM has a defined data model we can customize with user and developer options."
"The data quality component is very good."
"The application integration will give you more flexibility when dealing with APIs."
"It's a stable solution. I have no complaints."
"I like their matching feature, and the survivorship rules are very strong. I also like their out-of-box reports, data quality dashboards, and more. Those are also very handy and helpful. Internally, I like the kind of configurations that we can create, validations, and enhancements. Those configurations are pretty straightforward and useful. It's a user-friendly tool that is very cool."
"Has a good user interface and the ability to update large sets of products quickly."
 

Cons

"Inserting the GenAI into the master data management will reduce the overall effort of operational activities."
"This is a costly solution. We have several customers who evaluate it but then look for other solutions because of the cost. At present, Informatica MDM comes as an on-premises or cloud-based solution. I would like to see them offer a SaaS-based MDM model. I think they are working on it."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"They could improve technical support because it is not good enough at the moment."
"Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions."
"Certain applications are not being synced with the ION."
"I need to have some insight into the tool's cloud capabilities."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"The ability to create bespoke workflows could be improved."
"Integration could be better. Riversand is majorly focusing on only the MDM hub part. They don't have their own integration platform. We have to rely on a third-party integration partner. They say this is the format, and it's the client's responsibility to bring the data into their required format. They have to have an integration partner and develop their integration capabilities. It's not so flexible to read any data format or system, for example, SAP. They don't have a connector."
"The solution does not have a good match and search capability."
 

Pricing and Cost Advice

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"I rate the licensing cost of Informatica MDM a five out of ten."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"Comparatively, their prices are a little bit too high."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"The solution is very expensive."
"The product is very expensive"
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"Riversand MDMCenter isn't expensive. I believe their price is in the mid-range."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
10%
Insurance Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise24
Large Enterprise134
No data available
 

Questions from the Community

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Also Known As

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Topco, PC Connection, Balsam Brands, Nivea, Eucerin, Tine, Schneider Electric, Miller, ExxonMobil, Baxter, ConocoPhillips, Cameron International, Chevron, Husky Energy, Saint-Gobain, Fingerhut
Find out what your peers are saying about Palantir, Informatica, Cohesity and others in Data Management Platforms (DMP). Updated: September 2025.
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