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Informatica Intelligent Data Management Cloud (IDMC) vs MANTA Flow comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 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 Data Governance
2nd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
182
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), 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)
MANTA Flow
Ranking in Data Governance
29th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Governance category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 6.4%, down from 9.7% compared to the previous year. The mindshare of MANTA Flow is 0.7%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

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.
LeandroSodré - PeerSpot reviewer
Very Powerful, with cloud based scalability, and highly efficient for both business and technical teams
I had some difficulties, trying to use the direct link which is metadata through files that you can upload to MANTA Flow and you can just say from there where that data is going. But we just figured out that sometimes, depending on the level of the granularity that if you want to link the object, you can not. For example, if you want to link the objects just by schema, sometimes it does not work. So you need to scroll down and link each table. Sometimes the table level does not work, and you need to go deeper and go to link column to column. We figured out that this was a bug in MANTA Flow, and we talked to them and I think they were fixing it. But in our case, we just realized that if we could link the objects at the lowest level possible, it would work. I was trying to develop, right now, some kind of automation to compare the listed revision that I have in MANTA Flow with some other revision. And I would like to do it in an automatic way. I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface. I think it would be very powerful because if you want to automate just warn the data owners the structures were updated by looking at the object level, and send an email to these owners to see if that change makes sense.

Quotes from Members

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

Pros

"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."
"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."
"Seeing the data in the mapping itself is really nice."
"It is one of the best tools available for data integration."
"The solution is straightforward."
"I give the stability a ten out of ten."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"Informatica Business Process Manager is easy to use and learn."
"The solution is stable. We have not found any fatal errors yet."
"I believe it is very powerful. And for technicians, you can see the impact analysis, you can compare versions. So you can see some revisions against some of the oldest ones. You can compare and see which pipelines were updated between them. I think it is very helpful to both sides, the technical and business teams."
 

Cons

"The integration with other data management tools can be enhanced. For instance, there is no integration with tools like Collibra or Hubview."
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."
"Cost-wise, it could be better."
"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 main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
"It needs to be a little more intuitive but it’s really not bad."
"The solution is quite expensive."
"Informatica MDM can improve the data catalog and data marketplace."
"One area of improvement for MANTA Flow is to add as many new data sources as possible. We have found that maybe they can support 100, but not 101, unfortunately."
"I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface."
 

Pricing and Cost Advice

"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"We have licenses, and we are provided with certain particular services in the solution."
"The price is comparable."
"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
"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."
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"As a service company, we don't care about the price because the customer is paying, but the customers consider MANTA to be reasonable."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
6%
Financial Services Firm
37%
Non Profit
11%
Insurance Company
9%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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
Information Not Available
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. MANTA Flow and other solutions. Updated: April 2025.
849,190 professionals have used our research since 2012.