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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) (11th), 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 (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)
MANTA Flow
Ranking in Data Governance
30th
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 March 2025, in the Data Governance category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 6.8%, down from 10.1% 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 profiling feature in Informatica Data Quality is incredibly effective for data governance."
"It is one of the best tools available for data integration."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"The product's most valuable feature is the ability to select the data flow and lineage."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"It is a scalable product."
"The OAuth feature is the most valuable feature for authentication."
"It is a highly scalable solution."
"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

"There could be a lot more application integration."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"The GUI needs to be a little more user-friendly and appealing."
"Right now, although they offer some templates, I would want more templates available to be imported."
"Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."
"The solution is quite expensive."
"We cannot sell the product directly with an additional layer."
"We would like to have accessibility to the repository."
"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

"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."
"It's offers value for money. They're more competitive with respect to pricing and offerings."
"Comparatively, their prices are a little bit too high."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"We have licenses, and we are provided with certain particular services in the solution."
"The price is neither too high nor too low."
"The product is highly-priced."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"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
38%
Non Profit
10%
Insurance Company
9%
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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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: March 2025.
842,672 professionals have used our research since 2012.