Compare IBM InfoSphere DataStage vs. Informatica PowerCenter

IBM InfoSphere DataStage is ranked 3rd in Data Integration Tools with 10 reviews while Informatica PowerCenter is ranked 2nd in Data Integration Tools with 13 reviews. IBM InfoSphere DataStage is rated 8.0, while Informatica PowerCenter is rated 7.8. The top reviewer of IBM InfoSphere DataStage writes "Powerful, reliable and the ability to run it in parallel mode makes it very fast". On the other hand, the top reviewer of Informatica PowerCenter writes "Assists us with integration as we migrate from on-premise to cloud, but it needs a performance analyzer". IBM InfoSphere DataStage is most compared with SSIS, Informatica PowerCenter and Talend Open Studio, whereas Informatica PowerCenter is most compared with SSIS, Informatica Cloud Data Integration and Oracle Data Integrator (ODI). See our IBM InfoSphere DataStage vs. Informatica PowerCenter report.
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Most Helpful Review
Find out what your peers are saying about IBM InfoSphere DataStage vs. Informatica PowerCenter and other solutions. Updated: January 2020.
391,329 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:

ETL is the most valuable feature.Finding logs is very easy on the solution.The most valuable feature is the product's versatility to inject data.The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable.The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need.DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too.The most valuable feature is the ability to transfer information via notes.The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed.

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The partitioning and optimization to help enhance our development is a very valuable aspect of Informatica PowerCenter.The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed.The most complex task, in this case, was to read and transform BLOB data, and Java transformation in Informatica Power Center was a great solution.Technical support, and their approach is good. They have a support portal and support tickets. If you open a ticket it has multiple levels of severity from level one to very high or critical.The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand.In the end, you have structured, proper data for use in an integrated BI solution.The performance and design of Informatica have been very valuable. I find the performance faster than, say, Oracle Data Integrator or DataStage.Technical support is great. It's one of the reasons we really like them. When you compare support from IBM and support from Informatica, Informatica is much better.

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There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for.The template mapping could be easier.The interface needs improvement. It is really too technical. That is the main problem.Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions.We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great.I really like this tool, but the administration should be on the same client application because a lot of administration features are not on the client-side, and they usually need to have administrative access. It's quite complicated to force IT teams to have separate administrative access from the developers.The documentation and in-application help for this solution need to be improved, especially for new features.The interface needs work to be more user-friendly.

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The multiple interfaces in Informatica PowerCenter are not great for the user experience. Because of this, I think it can cause confusion for any beginner developer.I found it is kind of weird that not all of the mapping changes are treated as true changes.Include more instruments for LOGs analysis, interpretation, and job corrections.The licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica.I would like to see an improvement in the digital adoption.Integration with Artificial Intelligence would benefit this solution.As a connector to big data, it is not well developed. We've had problems connecting Informatica with Hadoop. The functionality to connect Informatica with Hadoop, for me it's not good.Now they are migrating to a new version, and they have something that is called Informatica Developer. Previously, they just had PowerCenter. Now, when they move everything to Informatica Developer it's not as good or stable like it was when it was PowerCenter, though it has some nice features. This Developer tool could be better.

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Pricing and Cost Advice
Small and medium-sized companies cannot afford to pay for this solution.Pricing varies based on use, and it is not as costly as some competing enterprise solutions.High-cost of ownership: They could take a page from open source software.

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Price-wise, it's more expensive than SSIS, but it's a better tool, so it has more features. Licensing is on a yearly basis.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
author avatarKonrad Konradkowalczyk

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.

author avatarKirill Slivchikov
Real User

My experience with these products is telling me that:

- Informatica is much more flexible, it has more points, where different types of codding and tuning are available. If the landscape is heterogeneous and complex - it’s the right choice. On the other hand, it works more slowly.

- IBM DS is very strong in code efficiency and flows parallelism. If the landscape is IBM-oriented or not so complex, but data volumes are huge - it’s the right choice. On the other hand, coding and tuning abilities are more ascetic.

- Informatica needs dedicated admin in the project team, IBM DS - does not.
- Informatica has an evolving cloud version, IBM DS hasn’t yet.
- Informatica is not proper working with Hadoop, IBM DS is.

The pricing of both is more or less equal.

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Also Known As
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.

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
Software R&D Company38%
Comms Service Provider13%
Insurance Company9%
Financial Services Firm13%
Energy/Utilities Company13%
Comms Service Provider13%
Healthcare Company13%
Software R&D Company38%
Comms Service Provider14%
Financial Services Firm8%
Insurance Company7%
Company Size
Small Business40%
Midsize Enterprise7%
Large Enterprise53%
Small Business19%
Midsize Enterprise13%
Large Enterprise69%
Small Business16%
Midsize Enterprise16%
Large Enterprise69%
Find out what your peers are saying about IBM InfoSphere DataStage vs. Informatica PowerCenter and other solutions. Updated: January 2020.
391,329 professionals have used our research since 2012.
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