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Informatica PowerCenter 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 PowerCenter
Ranking in Data Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
81
Ranking in other categories
Data Visualization (8th)
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 May 2025, in the Data Integration category, the mindshare of Informatica PowerCenter is 9.7%, down from 11.9% compared to the previous year. The mindshare of Precisely Connect is 0.3%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Lars Borchers - PeerSpot reviewer
A stable and reliable product that provides a variety of features for data integration
The solution is not for newcomers. It has an old touch. The solution must improve the integration with new services. It was part of the program at Informatica when they moved to their cloud platform. It is integrated. However, from an on-premise perspective, we need to buy licenses for PowerExchange. If we want a native driver to access a special service, we need to extend our license to those services. It is expensive. I don't like that it's not all included in the solution.
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

"It's a very powerful tool you can use to load data, get data, do the drawing between the tables, and put into the packet in a very fast way."
"We use Informatica PowerCenter to transfer the transitional database to and from the data warehouse. This is very efficient as it enables us to quickly find our data reports and the data, so we can build AI models."
"It has a Data Catalog that uses the Model repository."
"The reliability of the product and the way of orchestration of different services is valuable to us."
"We have found the PowerCenter and B2B data transformation most valuable."
"The most valuable features of Informatica PowerCenter are the ease of use, and development, and is simple to find resources."
"The setup is straightforward."
"It provides everything I need. Nothing is missing. PowerCenter is a good tool for on-premise databases."
"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

"The solution must improve the integration with new services."
"There can be scalability issues. Huge amounts of data ingestion will impact performance."
"Improvement is needed in terms of some new transformation because API integration and all those things are very critical nowadays."
"This product is going to decommission in the next couple of years."
"In the future, I would like to see Informatica PowerCenter integrate a more powerful dashboard."
"Integrated Reporting service should be more smoothly transitioned from view to function to be in sync with the main design."
"PowerCenter could integrate better with cloud applications. We had to do a lot of configuration work using API integrations to connect with cloud applications. Informatica Cloud Data Integration has a generic connector that you can use directly, so it's much easier."
"We had to take on a large volume of data from the legacy Sybase system. This was taking a very long time, i.e., more than a day. We were trying to improve it with partitions to gpload, but we were told that we can't go more than four partitions."
"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

"The price is mostly reasonable."
"A basic setup can be from $100,000 and up annually."
"Our client has purchased the license, and we are using it."
"The price of Informatica PowerCenter is expensive, but it does give value."
"Cost could be improved."
"I consider this to be an expensive product."
"The solution is in the middle price range compared to other solutions."
"I rate the solution's pricing a four out of ten. The price is very high, and it doesn't understand the market now."
Information not available
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Comparison Review

it_user90069 - PeerSpot reviewer
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
12%
Manufacturing Company
7%
Government
7%
Insurance Company
21%
Financial Services Firm
16%
Government
11%
Manufacturing Company
8%
 

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 PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...
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 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

PowerCenter
DMExpress, Syncsort DMX, Syncsort Connect ETL
 

Overview

 

Sample Customers

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
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: March 2025.
849,686 professionals have used our research since 2012.