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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
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (4th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), 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 17.8%, up 13.9% compared to last year.
Riversand MDMCenter, on the other hand, focuses on Master Data Management (MDM) Software, holds 1.1% mindshare, down 2.4% since last year.
Data Management Platforms (DMP)
Master Data Management (MDM) Software
 

Featured Reviews

Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
reviewer1739961 - PeerSpot reviewer
Updates large sets of products quickly; provides good off-the-shelf functionality
I'm the managing director and we are customers of Riversand This solution provides a good user interface and the ability to update large sets of products quickly. It's one of its best features along with providing good off-the-shelf functionality. The ability to create bespoke workflows could be…

Quotes from Members

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

Pros

"The product improves data quality."
"The solution has the best feature for parameterization."
"The serverless capability and the packaging application of the solution are valuable."
"The solution's technical support is pretty good, especially since the turnaround time is good."
"There isn't any human touch involved. It's just an automated business process to build different applications and talking to various APIs using the client's ecosystems. We then build new functionalities out of it."
"The ability to clean out data and improve the data quality is the best feature."
"The product is stable."
"The way that the solution scans is very useful."
"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

"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"The solution should improve its integration."
"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."
"The error information provided is not informative, as compared to Power Center."
"There are various areas for improvement in IDMC. Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."
"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"The solution does not have a good match and search capability."
"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 ability to create bespoke workflows could be improved."
 

Pricing and Cost Advice

"Informatica MDM's pricing is not cheap but comparable to other vendors."
"The price is high, but the competitors are even higher, like Collibra."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."
"I rate the licensing cost of Informatica MDM a five out of ten."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"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
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
Manufacturing Company
21%
Financial Services Firm
14%
Computer Software Company
11%
Energy/Utilities Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
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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 Informatica, Palantir, Oracle and others in Data Management Platforms (DMP). Updated: February 2025.
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