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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
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (5th), API Management (8th), Cloud Data Integration (3rd), 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)
MANTA Flow
Ranking in Data Governance
31st
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 June 2025, in the Data Governance category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 5.9%, down from 9.0% compared to the previous year. The mindshare of MANTA Flow is 0.7%, down from 0.8% 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

"Informatica Data Quality is a product that is worth the money."
"Informatica is user-friendly, stable, and scalable. These three aspects are the most valuable for us. If we can make it work well with the CRM, we can continue or try again this year to complete that part of the project. I am confident that this kind of solution is what we need because we have a third-party resource that works in the development."
"The data mapping capability is a valuable feature."
"There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"The solution's initial setup is quite straightforward."
"The solution is applicable for both technical and business users."
"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 on-prem version's functionalities may not be available on the cloud version."
"Informatica MDM's UI is not intuitive enough."
"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."
"Informatica MDM has limitations with connectivity."
"In terms of what could be improved, they need to create a rules repository. Business rules for the attributes that you have, keeping them in that central repository, and governance of them is something which Axon is lacking a bit. The Informatica Data Quality tool actually caters to that, so that's probably why they have not built that up in the Axon, but it is definitely something that can be built in to this product, as well."
"From multiple masters that are there in Informatica MDM, we can improve the financials."
"Data integration should be improved."
"It is complicated to establish the lineage in EDC using PowerCenter mappings."
"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."
"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."
 

Pricing and Cost Advice

"The pricing is quite flexible."
"Comparatively, their prices are a little bit too high."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"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."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"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."
"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
9%
Insurance Company
6%
Financial Services Firm
38%
Non Profit
13%
Insurance Company
8%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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...
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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
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Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. MANTA Flow and other solutions. Updated: June 2025.
857,028 professionals have used our research since 2012.