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IBM Cloud Pak for Data vs Informatica PowerCenter comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

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

ROI

Sentiment score
6.9
IBM Cloud Pak for Data enhances data quality, boosts AI efficiency, reduces costs, and improves compliance for large companies.
Sentiment score
8.1
Informatica PowerCenter is valued for its flexibility, stability, and effectiveness in handling diverse and complex data for reports.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro Limited
It also plays a vital role in revenue calculations, net asset valuations, and other key factors that support customer data and investment data pipelines.
Associate Principal Engineer at Nagarro
 

Customer Service

Sentiment score
7.4
IBM Cloud Pak for Data offers good support with direct contact but needs faster response times and issue resolution.
Sentiment score
6.9
Customer service and technical support receive mixed reviews, highlighting varying levels of responsiveness, resource availability, and user experiences.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
Customer support should be more responsive and reach and respond on time.
Senior Data Analyst at Wipro Limited
IBM support is very supportive, and I would rate them an eight out of ten based on our long relationship with them.
EDW Manager at a university with 1,001-5,000 employees
I like the technical support provided by Informatica.
Professor of Economics of Informatic at CMAYOR
I have occasionally needed to communicate with the technical support of Informatica PowerCenter, especially when raising cases for complex mappings and performance optimization to identify bottlenecks in transformations.
Associate Principal Engineer at Nagarro
 

Scalability Issues

Sentiment score
7.5
IBM Cloud Pak for Data is highly scalable, supporting large environments efficiently but may be resource-intensive with potential added costs.
Sentiment score
6.8
Informatica PowerCenter excels in scalability and versatility for data management, though costs and setup complexity are concerns.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro Limited
In the cloud, scaling up and down becomes easy when working with cloud providers.
Associate Principal Engineer at Nagarro
For scalability, I would rate Informatica PowerCenter between eight to nine.
Director at a computer software company with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.7
IBM Cloud Pak for Data is stable with high ratings, but users seek improved scalability for diverse organizational needs.
Sentiment score
7.9
Informatica PowerCenter is highly rated for stability, with few issues, mostly resolved by hotfixes, ensuring reliable performance.
Informatica PowerCenter is stable and can scale well.
Professor of Economics of Informatic at CMAYOR
The product is very stable with very few issues encountered in production.
Associate Principal Engineer at Nagarro
 

Room For Improvement

IBM Cloud Pak for Data needs better resource management, support, integration, and ease of transition to improve user experience.
Informatica PowerCenter users seek improved affordability, a modern interface, better integration, and scalability for enhanced efficiency and user-friendliness.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro Limited
I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in.
Data asset management engineer at a tech services company with 1-10 employees
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
EDW Manager at a university with 1,001-5,000 employees
With Informatica PowerCenter, I am looking for an AI interface that looks at the underlying data model of the databases and the metadata of the tables, allowing the developer to provide instructions on what data sources to connect to and how to apply or create Transformations.
Director at a computer software company with 1,001-5,000 employees
Informatica Cloud and its support becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing.
Associate Principal Engineer at Nagarro
Utilizing more stored procedures from Oracle databases in an easy way would significantly boost performance.
Professor of Economics of Informatic at CMAYOR
 

Setup Cost

IBM Cloud Pak for Data pricing is costly for small companies, with complex licensing but competitive for large enterprises.
Informatica PowerCenter, although costly, is valued by large enterprises for its comprehensive features and effective complex data handling.
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Senior Data Analyst at Wipro Limited
The price of Informatica PowerCenter is high, especially for small and medium-sized businesses.
Director at a computer software company with 1,001-5,000 employees
I find that the pricing and licensing for Informatica PowerCenter align with its quality.
Professor of Economics of Informatic at CMAYOR
 

Valuable Features

IBM Cloud Pak for Data offers robust data management, AI-driven insights, and seamless integration with hybrid and multi-cloud environments.
Informatica PowerCenter provides robust, scalable ETL solutions with user-friendly design, supporting extensive databases and seamless data integration.
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
EDW Manager at a university with 1,001-5,000 employees
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
Data asset management engineer at a tech services company with 1-10 employees
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
Senior Data Analyst at Wipro Limited
The system supports real-time integration, which is essential for many of my tasks.
Professor of Economics of Informatic at CMAYOR
The functions in Informatica PowerCenter that I have found most valuable are the way it manages the volume of data, the push down optimization, and the performance aspects of it, mostly related to parallelism techniques.
Director at a computer software company with 1,001-5,000 employees
The most valuable features of Informatica PowerCenter that I have found so far include transformations, the ease of connectivity with different source systems, and the parameter files.
Associate Principal Engineer at Nagarro
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
23rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
15
Ranking in other categories
Data Virtualization (3rd)
Informatica PowerCenter
Ranking in Data Integration
4th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Data Visualization (12th)
 

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.7% compared to the previous year. The mindshare of Informatica PowerCenter is 3.4%, down from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Informatica PowerCenter3.4%
IBM Cloud Pak for Data1.3%
Other95.3%
Data Integration
 

Featured Reviews

ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
Garima Goel - PeerSpot reviewer
Associate Principal Engineer at Nagarro
Has supported complex data pipeline creation but performance tuning and monitoring responsiveness need improvement
Sometimes, I see various performance issues with Informatica PowerCenter, including caching concerns, whether it's a joiner transformation or other transformations, so I believe the team can enhance the performance perspectives of these transformations. Additionally, sometimes the Informatica Monitor hangs or takes time to open the current run or logs, which the team can also look into. Informatica is transitioning to cloud solutions and discontinuing on-premise support after 2026, so when we discuss Informatica Cloud and its support, it becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing. Informatica Cloud Intelligence's pricing is notably high.
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Comparison Review

it_user90069 - PeerSpot reviewer
BI Expert at a healthcare company with 1,001-5,000 employees
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
26%
Manufacturing Company
9%
Computer Software Company
8%
Government
4%
Financial Services Firm
17%
Computer Software Company
8%
Manufacturing Company
8%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Large Enterprise12
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise10
Large Enterprise73
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
The pricing and setup cost are handled by a different procurement team. Our IT procurement team is centralized, so licensing and the actual cost of the software are taken care of by a different tea...
What needs improvement with IBM Cloud Pak for Data?
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
What is your primary use case for IBM Cloud Pak for Data?
The main use case for IBM Cognos is for business intelligence and reporting.
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...
 

Also Known As

Cloud Pak for Data
PowerCenter
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Find out what your peers are saying about IBM Cloud Pak for Data vs. Informatica PowerCenter and other solutions. Updated: February 2026.
881,733 professionals have used our research since 2012.