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

"I am impressed by the solution's interface."
"The solution offers good data governance."
"Ease of use, configurability, maintainability, and good aesthetics make for a more fluid functional process."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"It has a more UI-based tool, and the scripting is good."
"I rate the technical support a ten out of ten."
"It has been leading the market with hierarchy management and all the different match concepts and algorithms. They're very robust."
"I like the fact that you can find almost any product connection that you need and the list is always expanding."
"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."
"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."
"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."
"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

"Connectivity could be improved, it can be a little slow."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"Error reporting and debugging need improvement."
"Their data quality reporting, especially their dashboards and scorecards, is lackluster at best."
"The stability and the integration of the solution have room for improvement."
"Cost-wise, it could be better."
"I think everything related to the APIs and the manageability of the APIs in Informatica MDM are areas where improvements are required."
"We decided to stop the project because it was too much effort and we couldn't benefit from the solution."
"The ability to create bespoke workflows could be improved."
"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."
"Integration could be better. Riversand is majorly focusing on only the MDM hub part."
"The technical support for partners is not so good. It takes a long time to get a response."
 

Pricing and Cost Advice

"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"The price is comparable."
"The pricing model is something that can be improved."
"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."
"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."
"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.
892,678 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: May 2026.
892,678 professionals have used our research since 2012.