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Informatica Intelligent Data Management Cloud (IDMC) vs WebRatio comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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...
Ranking in Business Process Management (BPM)
13th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Data Quality (1st), 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) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
WebRatio
Ranking in Business Process Management (BPM)
62nd
Average Rating
7.0
Reviews Sentiment
5.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Business Process Management (BPM) category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 1.2%, down from 1.5% compared to the previous year. The mindshare of WebRatio is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Business Process Management (BPM)
 

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.
reviewer1485573 - PeerSpot reviewer
Little coding needed and speeds development time but lacks documentation
The maintenance aspect is too heavy. Moving from one version to the other made the solution change, and not in a way that we liked. Typically there are documents about the release of new versions and a set of activities required to migrate from one to the other. This time, it was very messy. There were issues surrounding the management of the release. This could potentially be due to the fact that WebRation, in the past, had started to make some choices regarding the framework and architecture that were changed later. In the past, we'd use a strategy as the environment, as an architectural pattern for the application. Now, it's moving more on the spring framework and this initiated some change that obviously had an impact on our application. It's caused a problem with maintenance. The solution seems to have changed its approach. Now, it's more related to a federative application environment in a monolithic aspect. While the solution was interesting at one point, everything is moving towards the cloud. WebRatio should be moving also in the web approach. Currently, you have to install an environment inside the desktop. The future is the cloud. Normally with a low code environment, there is a VPN notation - maybe a WebML or FML notation. If they can move in to have an environment that has a running machine at the end, it would be great. Obviously, some components on the server-side should be deliberate. Normally it's the model you control that's step-by-step and has a very simple flow. In the digital environment, in the organization, the process is more complex. The quality of the documentation and the community surrounding the product are poor. They need to give users more documentation and build up the surrounding community. As it isn't a well-known product, it's hard to find professionals to work with it.

Quotes from Members

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

Pros

"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"The data quality component is very good."
"The advanced features like task flow and conditional integration are particularly useful."
"It has flexibility in extending the data model."
"Informatica Persistent Data Masking can mask production data for different users, ensuring that only authorized individuals can access sensitive information."
"It has a more UI-based tool, and the scripting is good."
"There isn't any human touch involved. It's just an automated business process to build different applications and talking to various APIs using the client's ecosystems. We then build new functionalities out of it."
"The features for data quality, data cataloging, and UI are excellent."
"The initial setup isn't too complex."
 

Cons

"It could be a bit more intuitive, rather than technically complex."
"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."
"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."
"The scalability is tough."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"We would like to have accessibility to the repository."
"I feel the out-of-the-box APIs or the API management could be improved slightly from their current state. It could be more user-friendly."
"The maintenance aspect is too heavy."
 

Pricing and Cost Advice

"We got a 50% discount."
"Informatica is very expensive."
"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 product is highly-priced."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"The price of Informatica Cloud Data Integration could be reduced."
"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
No data available
 

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
Unicredit Leasing, Acer, Gruppo Torinese Transporti, A2A, SET Distribuzone, Dolomiti Energia, AIM Gruppo, IFC CNA_ Amsa
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. WebRatio and other solutions. Updated: April 2025.
848,253 professionals have used our research since 2012.