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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) (13th), 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 (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 16.7%, up 14.1% compared to last year.
Riversand MDMCenter, on the other hand, focuses on Master Data Management (MDM) Software, holds 1.2% 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

"Informatica Cloud Data Integration is stable."
"Informatica Cloud Data Integration is stable."
"The user interface which is very easy to use if we have any problems to solve."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"The valuable feature is that we can automate the integration part...It is a stable solution."
"The OAuth feature is the most valuable feature for authentication."
"It is a very stable solution...It is a scalable solution."
"The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."
"Has a good user interface and the ability to update large sets of products quickly."
"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."
 

Cons

"The main issue probably has nothing to do with end users, but installation can definitely be simplified."
"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."
"Its pricing model can be improved. The response time from technical support can also be improved."
"It needs to be a little more intuitive but it’s really not bad."
"We would like to have accessibility to the repository."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"Its cloud-based version has a few limitations compared to the on-premise version."
"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

"The solution is very expensive."
"Informatica Axon is expensive."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"It's a very expensive solution"
"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."
"We are quite happy with the licensing model."
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty 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
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
Manufacturing Company
21%
Financial Services Firm
15%
Computer Software Company
11%
Wholesaler/Distributor
6%
 

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: March 2025.
845,040 professionals have used our research since 2012.