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

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

Why PeerSpot?
 

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
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (1st), API Management (9th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), 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 (11th)
 

Featured Reviews

RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.
SS
Senior Solution Architect at Intraedge
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

"The user interface which is very easy to use if we have any problems to solve."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"It's a stable product without any bugs or glitches."
"The product is stable."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie."
"The solution's initial setup is quite straightforward."
"The user-friendliness and performance of Informatica is quite impressive."
"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."
"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."
"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."
 

Cons

"I would like to have the solution in one product and technical support needs to be better."
"I would like to see more API integration to have the capability to build a report using other third party reporting tools allowing things to be streamlined."
"The stability and the integration of the solution have room for improvement."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."
"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."
"The biggest pain point for us is the documentation."
"I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version."
"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 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 solution does not have a good match and search capability."
"The ability to create bespoke workflows could be improved."
 

Pricing and Cost Advice

"Informatica MDM's price could be lower."
"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."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"It is cost effective and an easily accessible tool."
"The pricing model is something that can be improved."
"The solution is very expensive."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"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.
915,533 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
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, Palantir and others in Cloud Data Integration. Updated: September 2026.
915,533 professionals have used our research since 2012.