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Informatica Intelligent Data Management Cloud (IDMC) vs Precisely Connect comparison

 

Comparison Buyer's Guide

Executive Summary

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
4th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), 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)
Precisely Connect
Ranking in Data Integration
39th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.3%, down from 6.5% compared to the previous year. The mindshare of Precisely Connect is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.
reviewer2667306 - PeerSpot reviewer
AI compliance integration elevates data quality and decision-making
I usually implement Precisely and Collibra tools for clients to enhance data quality. My main use case involves working with the data catalog of Precisely to integrate data management processes and ensure data governance Precisely has the AI Act already implemented into the data catalog, which…

Quotes from Members

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

Pros

"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."
"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 Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"In the latest version, I like the outlay of the business roles creation. I like seeing that visualization as you're building it, as opposed to going through metatables or XML mappings. We liked that piece, and it makes it more intuitive for the business."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"It is a scalable product."
"It is easy to create REST-based interfaces of the master data objects."
"It's good for tool management, maintaining the golden record of customer status."
"Precisely has the AI Act already implemented into the data catalog, which allows the integration of the European Artificial Intelligence Act into our processes."
"Using Precisely improves data quality, which can lead to a 30% increase in revenue and boost net income by 20% to 25% if implemented correctly."
 

Cons

"Performance also needs to be significantly improved, especially when connecting to SFDC for read and write operations."
"Certain applications are not being synced with the ION."
"The only thing that I can imagine that might be improved is how the available transactions verify addresses used. These transactions have a valid end date and must be used within the agreed timeframe."
"The integration process is not easy."
"The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"I would also like to have profiling functionalities and quality transformations in the cloud."
"The product is not too user-friendly to do the configurations."
"Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly."
"Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly."
 

Pricing and Cost Advice

"It is cost effective and an easily accessible tool."
"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."
"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."
"Informatica is very expensive."
"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"It's an expensive solution."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
7%
Insurance Company
19%
Financial Services Firm
18%
Government
12%
Consumer Goods Company
5%
 

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 ...
What is your experience regarding pricing and costs for Precisely Connect?
Precisely has a high entry price, which is why it is not suitable for small to mid-sized organizations.
What needs improvement with Precisely Connect?
Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly.
What is your primary use case for Precisely Connect?
I usually implement Precisely and Collibra tools for clients to enhance data quality. My main use case involves working with the data catalog of Precisely to integrate data management processes and...
 

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
DMExpress, Syncsort DMX, Syncsort Connect ETL
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Hermes, Kantar Worldpanel, Kojima Press Industry Co. Ltd., OTC Markets Group, Experian, Co-operative Group, State of Tennessee Department of Human Services, Centers for Medicare & Medicaid Services, Silverton, comScore
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: August 2025.
865,295 professionals have used our research since 2012.