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Informatica Intelligent Data Management Cloud (IDMC) vs Python Connectors comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 2025

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 Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
Python Connectors
Ranking in Data Integration
33rd
Average Rating
10.0
Reviews Sentiment
8.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.5%, down from 5.3% compared to the previous year. The mindshare of Python Connectors is 0.7%. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)3.5%
Python Connectors0.7%
Other95.8%
Data Integration
 

Featured Reviews

Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.
reviewer2761659 - PeerSpot reviewer
Product Engineer at a tech vendor with 10,001+ employees
Has improved data integration speeds and strengthened security through secure authentication
In my experience, the best features Python Connectors offers are easy database connectivity, support for secure authentication, and encryption options. We have used encrypted connections and secure authentication methods, so no plain text credentials have helped us, and we found it effective. We found that Python Connectors is compliance-friendly, very secure, and has no plain text passwords or anything.

Quotes from Members

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

Pros

"It is a very stable solution...It is a scalable solution."
"We can scan anything."
"The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely."
"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"The product seems stable enough."
"It has flexibility in extending the data model."
"The product's most valuable feature is the ability to select the data flow and lineage."
"Since we started to use Python Connectors, we found it very reliable, and there are many measurable benefits of this."
 

Cons

"Informatica is very expensive."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"Some capabilities from the cloud version are not included in the on-premises version."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"There is room for improvement in the Data Marketplace aspect."
"I have encountered some issues using the substitution, which is one of the techniques of data masking."
"If a new solution has the same features and less investment, it would be worth considering."
"Python Connectors might get a little less costly, making it a common tool rather than being an expensive or fancy tool."
 

Pricing and Cost Advice

"The licenses attached to the solution are highly priced."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"We are quite happy with the licensing model."
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"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."
"In terms of the licensing for Informatica Intelligent Cloud Services, we had the option of paying based on the number of users and paying based on the volume of data, and we went with the data volume licensing option. Informatica Intelligent Cloud Services isn't as expensive as CIG. The pricing for it is okay, so I'm rating it a four out of five in terms of pricing. We did use the email verification and address validation services which weren't part of the contract, so we had to pay additional fees for those services."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Retailer
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
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 ...
What needs improvement with Python Connectors?
Python Connectors might get a little less costly, making it a common tool rather than being an expensive or fancy tool. It is much costlier than other products, but considering Python language bein...
What is your primary use case for Python Connectors?
Python Connectors are mainly used to connect between the front-end and back-end of a project. It may seem like an API or a framework. We have used Python Connectors to create an employee dashboard....
What advice do you have for others considering Python Connectors?
Python Connectors is actually very easy and user-friendly and accessible, and the most reliable feature is that it is user-friendly. The person who knows Python from top to end feels a master in it...
 

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Information Not Available
Find out what your peers are saying about Microsoft, Informatica, IBM and others in Data Integration. Updated: January 2026.
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