No more typing reviews! Try our Samantha, our new voice AI agent.

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
214
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (8th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
Riversand MDMCenter
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
3
Ranking in other categories
Master Data Management (MDM) Software (10th)
 

Featured Reviews

Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.
CR
Architect at Wipro
A stable solution with multiple workflow capabilities, but lightweight DAM capabilities and lacking a good search and match feature
The solution does not have a good match and search capability. It only has a basic, exact match search. Any upgrades to the search and match capability, seeing non-exact or fuzzy matches for example, would be good improvements. Also, the DAM solution provided by Riversand is comparatively lightweight, so you are still dependent on a third-party DAM solution provider, like Team Seven, to make it a complete solution. Some improvement in the DAM area would be a major help. From a data quality perspective, there are not a lot of data quality rules that can be enabled. Also, there is no specific data quality engine available, unlike Informatica, where you have the option of leveraging the PIM tool for data quality capabilities. Plus, you can leverage apps out of IDQ and make them available in PIM. If these kinds of options were made available in Riversand, they would definitely be welcome features.

Quotes from Members

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

Pros

"The quality of the data improves with Informatica Cloud Data Quality."
"When we use Informatica, we have a complete global vision of our clouds and the local application data and that is very important for us."
"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."
"The most valuable features are the structure masking and platform masking."
"Informatica MDM has a defined data model we can customize with user and developer options."
"It is very useful for testing purposes and designing mappings for small projects."
"MDM doesn't require a separate IDQ."
"The most valuable feature of Informatica MDM is hierarchy management. It's not something that's typically available and effective within ERPs."
"There are a lot of workflow-related capabilities in Riversand, such as packaging-related AI-based algorithms that automatically assign specific packaging for a given product within the workflow."
"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."
"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, which are very handy and helpful, and the configurations we can create, validations, and enhancements are pretty straightforward and useful, making it a user-friendly tool that is very cool."
"This solution provides a good user interface and the ability to update large sets of products quickly, along with providing good off-the-shelf functionality."
 

Cons

"I have a lot of issues with their customer support and not getting the required technical information, which we actually need unless you can do a call with their senior technicians."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"It is not easy to set up and configure the tool."
"We cannot sell the product directly with an additional layer."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"The tool's performance is an area that should be given further consideration."
"The ability to create bespoke workflows could be improved."
"The technical support for partners is not so good. It takes a long time to get a response."
"Integration could be better. Riversand is majorly focusing on only the MDM hub part."
"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

"In terms of the licensing for Informatica Intelligent Cloud Services, we had the option of paying based on the number of users and paying based on the volume of data, and we went with the data volume licensing option. Informatica Intelligent Cloud Services isn't as expensive as CIG. The pricing for it is okay, so I'm rating it a four out of five in terms of pricing. We did use the email verification and address validation services which weren't part of the contract, so we had to pay additional fees for those services."
"The solution's pricing model is easy, but it is very expensive."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."
"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."
"The solution is expensive."
"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
"The licensing price of the product depends on the organization's requirements."
"Riversand MDMCenter isn't expensive. I believe their price is in the mid-range."
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
892,383 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Retailer
7%
Computer Software Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
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 ...
Ask a question
Earn 20 points
 

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
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 Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: March 2026.
892,383 professionals have used our research since 2012.