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
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (1st), API Management (6th), 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) (2nd), 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

"This product is the most agile way to use all of the data capabilities and data services that you need to exploit in your company."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"It has improved our organization because it has made our data more reliable. Data is the most important asset these days, and in order to trust your data, you need these tools to make sure that your data is clean and reliable."
"The fuzzy matching capability is a great feature."
"Scalability is on par or better than any other solution on the market, with one of our customers having over 21 million SKUs in PIM and others having hundreds of international users."
"Informatica Data Quality is a solid integration tool."
"Performance and flexibility-wise, they're very user-friendly."
"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."
"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."
"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."
"It's a stable solution. I have no complaints."
 

Cons

"It can be improved in terms of performance and execution. I'm expecting better performance."
"The product could be improved in the area of architecture and technology. All the parts are old."
"The on-prem solution is harder to learn than the cloud-based versions."
"Compared to PowerCenter, Data Quality needs some improvement; when we are dealing with large amounts of data for extraction purposes, it doesn't always work out and we often experience some memory issues here and there."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."
"IEDC can improve the comparison of lineages."
"Mainly, MDM requires improvement when you need to migrate your version to a later one -- because it is very difficult and takes a lot of time to convert the processes you have already developed and implemented on a previous version, and can cause a need to rework the processes."
"The solution does not have a good match and search capability."
"The technical support for partners is not so good. It takes a long time to get a response."
"The ability to create bespoke workflows could be improved."
"Integration could be better. Riversand is majorly focusing on only the MDM hub part."
"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."
 

Pricing and Cost Advice

"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"The licenses attached to the solution are highly priced."
"The product is very expensive"
"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."
"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"Informatica is very expensive."
"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.
907,731 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Construction Company
8%
Outsourcing Company
6%
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: July 2026.
907,731 professionals have used our research since 2012.