IBM InfoSphere DataStage vs. Informatica PowerCenter

As of June 2019, IBM InfoSphere DataStage is ranked 8th in Data Integration Tools with 1 review vs Informatica PowerCenter which is ranked 2nd in Data Integration Tools with 6 reviews. The top reviewer of IBM InfoSphere DataStage writes "Its parallel processing capability allows you to go through extremely large data sets in no time at all". The top reviewer of Informatica PowerCenter writes "Works with any multi-database, reduces legacy coding, and is easy to use". IBM InfoSphere DataStage is most compared with SSIS, Talend Open Studio and Informatica PowerCenter. Informatica PowerCenter is most compared with SSIS, Informatica Cloud Data Integration and Oracle Data Integrator (ODI).
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Most Helpful Review
Find out what your peers are saying about Oracle, Informatica, Microsoft and others in Data Integration Tools. Updated: June 2019.
348,275 professionals have used our research since 2012.
Quotes From Members

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

Pros
Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job.

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The most valuable features are the dynamic reading of the file metadata profile, and the ability to define business rules that are used to verify and validate the uploaded files.Informatica PowerCenter has been implementing mapping design, data flow, and workflow execution for years.It reduces a lot of legacy coding.It works with any multi-databases, so it works with Sybase, SQL Server. Also, the performance is really good and it is easy to use.Reusable definition of data sources and the out-of-the-box availability of a large number maplets for common transformation functions.Easy, scalable, robust platform to integrate heterogeneous source platform's data into the unified data warehouse.UI-based ability to create data mapping.Good product if you are trying implement data quality, data integration, and data management projects.

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Cons
Working with some of the big data components is good, but I can see improvements are needed.

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The developer tool documentation can be enhanced with a more clear explanation of each utility, accompanied by relevant examples, so that developers are able to create programs with ease.Integrated Reporting service should be more smoothly transitioned from view to function to be in sync with the main design.The initial setup is not straightforward. You need expertise to do it.While Informatica is great for data-integration, it does not have any analytics features. Thus, organizations have to always look for another product for their BI needs.There can be scalability issues. Huge amounts of data ingestion will impact performance.We had stability issues, mostly with JVM size.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.

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Pricing and Cost Advice
High-cost of ownership: They could take a page from open source software.

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Licensing is a one time cost. But maintenance costs depend on what you want, how long you need it. Maintenance is a kind of insurance. With health insurance, you don't know whether you will get sick or need to go to hospital or not but you have to have insurance. It's the same thing with support. If you have that expertise in resolving issues, if you have enough experience in your IT department, I would say you don't need the support. But in practice, they recommend you go with the support. If you want support you have to pay for it.Cost could be improved.

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Answers from the Community
Miriam Tover
Konrad KonradkowalczykUser

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.

16 June 19
Ranking
8th
Views
14,989
Comparisons
9,753
Reviews
1
Average Words per Review
597
Avg. Rating
8.0
2nd
Views
50,393
Comparisons
26,455
Reviews
7
Average Words per Review
256
Avg. Rating
7.9
Top Comparisons
Compared 22% of the time.
Compared 24% of the time.
Also Known As
PowerCenter
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IBM
Informatica
Overview
IBM InfoSphere DataStage integrates data across multiple systems using a high performance parallel framework, and it supports extended metadata management and enterprise connectivity. The scalable platform provides more flexible integration of all types of data, including big data at rest (Hadoop-based) or in motion (stream-based), on distributed and mainframe platforms.

Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems.

Offer
Learn more about IBM InfoSphere DataStage
Learn more about Informatica PowerCenter
Sample Customers
Dubai Statistics Center, Etisalat EgyptUniversity of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Top Industries
No Data Available
REVIEWERS
Healthcare Company20%
Financial Services Firm20%
Government10%
Energy/Utilities Company10%
VISITORS READING REVIEWS
Financial Services Firm39%
University7%
Healthcare Company7%
Agriculture5%
Company Size
No Data Available
REVIEWERS
Small Business6%
Midsize Enterprise17%
Large Enterprise78%
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise15%
Large Enterprise67%
Find out what your peers are saying about Oracle, Informatica, Microsoft and others in Data Integration Tools. Updated: June 2019.
348,275 professionals have used our research since 2012.
We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.

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