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IBM InfoSphere DataStage 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 InfoSphere DataStage ROI varies; optimization boosts performance 200%, enhancing project management despite some inefficiencies and manual interventions.
Sentiment score
8.1
Informatica PowerCenter is valued for its flexibility, stability, and effectiveness in handling diverse and complex data for reports.
 

Customer Service

Sentiment score
6.1
IBM InfoSphere DataStage support is 24/7 but inconsistent, with quality varying by region and needing efficiency improvements.
Sentiment score
6.9
Customer service and technical support receive mixed reviews, highlighting varying levels of responsiveness, resource availability, and user experiences.
We also have the flexibility to submit a feature request to be included as part of the wishlist, potentially becoming a product feature in subsequent releases.
IBM tech support has allocated dedicated resources, making it satisfactory.
I like the technical support provided by Informatica.
 

Scalability Issues

Sentiment score
7.6
IBM InfoSphere DataStage is praised for scalability and connectivity but some users find scaling resource-intensive.
Sentiment score
6.8
Informatica PowerCenter excels in scalability and versatility for data management, though costs and setup complexity are concerns.
For scalability, I would rate Informatica PowerCenter between eight to nine.
 

Stability Issues

Sentiment score
7.6
IBM InfoSphere DataStage is generally stable, though newer versions and installation issues on certain OS may impact stability.
Sentiment score
7.8
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.
 

Room For Improvement

IBM InfoSphere DataStage needs usability improvements, modern database support, better pricing, documentation, stability, and enhanced cloud integration and DevOps.
Informatica PowerCenter users seek improved affordability, a modern interface, better integration, and scalability for enhanced efficiency and user-friendliness.
I wonder if it supports other areas, such as cloud environments with open source support, or EdgeShift.
The solution needs improvement in connectivity with big data technologies such as Spark.
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.
Utilizing more stored procedures from Oracle databases in an easy way would significantly boost performance.
 

Setup Cost

IBM InfoSphere DataStage is costly for small businesses but competitive for large enterprises, cheaper than Informatica yet pricey overall.
Informatica PowerCenter, although costly, is valued by large enterprises for its comprehensive features and effective complex data handling.
Pricing for IBM InfoSphere DataStage is moderate and not much expensive.
The price of Informatica PowerCenter is high, especially for small and medium-sized businesses.
I find that the pricing and licensing for Informatica PowerCenter align with its quality.
 

Valuable Features

IBM InfoSphere DataStage excels in parallel processing, scalability, robust data integration, and ease of use, enhancing data management efficiency.
Informatica PowerCenter provides robust, scalable ETL solutions with user-friendly design, supporting extensive databases and seamless data integration.
IBM InfoSphere DataStage is very scalable, allowing us to extend it according to our processing needs.
The failure detection has been very useful for us, as well as the load balancing feature.
The system supports real-time integration, which is essential for many of my tasks.
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.
 

Categories and Ranking

IBM InfoSphere DataStage
Ranking in Data Integration
6th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
42
Ranking in other categories
No ranking in other categories
Informatica PowerCenter
Ranking in Data Integration
3rd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
82
Ranking in other categories
Data Visualization (9th)
 

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of IBM InfoSphere DataStage is 4.6%, down from 5.7% compared to the previous year. The mindshare of Informatica PowerCenter is 8.1%, down from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Q&A Highlights

Miriam Tover - PeerSpot reviewer
Oct 07, 2019
 

Featured Reviews

Swetha S - PeerSpot reviewer
The solution streamlines design, development, and deployment with effective ETL features
The support has been really good. Typically, if we have any issues, we raise a ticket with IBM, and they help us resolve the issues if required. We also have the flexibility to submit a feature request to be included as part of the wishlist, potentially becoming a product feature in subsequent releases.
Deepak Shiv - PeerSpot reviewer
Provides multiple transformations in one toolset and helpful when extracting data from multiple sources
Error handling capability is quite good in Informatica PowerCenter because it provides a very detailed session log, which is really helpful to identify errors. In addition, there are KB articles published by Informatica that are really helpful. So, error handling and the KB articles provided by Informatica are very helpful. Even if you face any issues or errors, we can usually resolve them. If the error cannot be solved with Informatica PowerCenter, we can raise a case with Informatica, and their support team will help us address that issue. If it cannot be solved with that particular version, they will consider it and try to solve it with the next patch or hotfix. AI Initiatives: Our company also has organizational AI or machine learning initiatives. However, Informatica PowerCenter doesn't fit into AI-related things because it's an on-premise tool. It doesn't have a significant role in the field. It is just a small ETL on-premises tool. So basically, in the AI field, Informatica PowerCenter is not going to be that impactful. Informatica has launched IICS and IDMC (Informatica Data Management Cloud and Informatica Cloud), where their AI comes into the picture. But for Informatica PowerCenter, AI does not come into the picture at all.
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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…
 

Answers from the Community

Miriam Tover - PeerSpot reviewer
Oct 7, 2019
Oct 7, 2019
My experience with both of these tools is that differences are not that meaningful. Informatica has nicer UI but that's it. For 95% of projects one will not feel a difference nor from a performance point of view nor from development speed (assuming that you have developers experienced equally in both tools). So I would take into consideration the following factors: 1. Do you have specific r...
2 out of 3 answers
CL
Jun 14, 2019
In short, Informatica PowerCenter has tighter integration across its portfolio for a better user experience. In data quality, Informatica supports non-technical audiences such as data stewards more than IBM. Because the data management landscape has a number of applications (see note 1) that apply to different use cases, I recommend that you talk with Informatica to discuss your requirements. That conversation can provide insights into which tool - or more likely tools or solutions - that will help inform your next phase of product research. Please contact my colleague Bill Campbell (bicampbell@informatica.com, +1 512.813.2894) to schedule a call. --- Note 1 --- Data management applications include (but are not limited to) data integration, data quality, master data management, data governance and stewardship, data catalog, and more. In addition to the basic tools, there are: * Variations that are on-premise, cloud, or hybrid (Informatica offers all three) * Point products doing single task versus out-of-the-box solutions that incorporate various tools integrated together (Informatica has both products and solutions) * Vendors that have only a single point product versus vendors that have a complete portfolio of products that can be sold standalone or "better together" in a solution (Informatica has the complete portfolio with products and solutions - built on the Intelligent Data Platform ) Gartner has five Magic Quadrants for the data management market. Besides the famed 2x2 graphic for each tool category, the research notes provide good foundational information about each market. Download complimentary copies of all five MQs for at this link: https://www.informatica.com/lp/gartner-leadership.html
KK
Jun 16, 2019
My experience with both of these tools is that differences are not that meaningful. Informatica has nicer UI but that's it. For 95% of projects one will not feel a difference nor from a performance point of view nor from development speed (assuming that you have developers experienced equally in both tools). So I would take into consideration the following factors: 1. Do you have specific requirements that can be addressed by each of these tools (you can check it by conducting PoC) 2. What will be a cost of the tool: 2.1 What technology is known to your developers? (training costs, time required to master technology by your developers, resources availability ) 2.2 What is the license cost? I do not want to diminish both technologies, but from a cost perspective, I know that it is worth to consider them only when you have daily more than 200 GB data with high to medium transformation complexity. Otherwise, there are cheaper tools on the market.
 

Top Industries

By visitors reading reviews
Financial Services Firm
28%
Computer Software Company
9%
Government
9%
Manufacturing Company
9%
Financial Services Firm
18%
Computer Software Company
11%
Manufacturing Company
8%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Would you upgrade to more premium versions of IBM InfoSphere DataStage?
My company currently uses the free version of the product, and we are definitely switching to a paid one. We needed a tool that can help us not only integrate our data but use it effectively. For ...
Is IBM InfoSphere DataStage more difficult to use compared to other tools in the field?
I think the tool may cause some difficulties if you have not used other data integration solutions before. I have worked at companies that used different tools for data integration, and they work ...
Do you rely on IBM Cloud Paks for your data? Have you utilized this product, or do you use IBM InfoSphere DataStage without it?
IBM Cloud Paks makes a big difference in your data integration. My company has been using it alongside IBM InfoSphere DataStage and while the main product is good on its own, this one truly expands...
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

No data available
PowerCenter
 

Overview

 

Sample Customers

Dubai Statistics Center, Etisalat Egypt
University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Find out what your peers are saying about IBM InfoSphere DataStage vs. Informatica PowerCenter and other solutions. Updated: August 2025.
865,140 professionals have used our research since 2012.