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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
8.0
Reviews Sentiment
6.8
Number of Reviews
183
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) (2nd), 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 16.3%, 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 2.3% 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.
CR
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 most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"The product seems stable enough."
"The solution has the best feature for parameterization."
"Offers data lineage feature"
"The most valuable features of Informatica MDM are the IDQ and RDM data management."
"The most valuable feature of Informatica Axon is that it is flexible and user-friendly."
"The most valuable features are the structure masking and platform masking."
"The advanced features like task flow and conditional integration are particularly useful."
"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."
"It's a stable solution. I have no complaints."
"Has a good user interface and the ability to update large sets of products quickly."
 

Cons

"The solution should improve its integration."
"Certain shortcomings in the product's UI make it an area where improvements are required."
"I would also like to have profiling functionalities and quality transformations in the cloud."
"The UI is extremely complex"
"I have encountered some issues using the substitution, which is one of the techniques of data masking."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"The advertising makes promises about data analytics that it does not keep."
"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."
"The ability to create bespoke workflows could be improved."
 

Pricing and Cost Advice

"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"The licensing price of the product depends on the organization's requirements."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"We are quite happy with the licensing model."
"The product is very expensive"
"The solution's pricing model is easy, but it is very expensive."
"I rate the licensing cost of Informatica MDM a five out of ten."
"Informatica MDM's price could be lower."
"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
9%
Insurance Company
6%
Manufacturing Company
20%
Financial Services Firm
16%
Computer Software Company
11%
Retailer
7%
 

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
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