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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: November 2020.
446,626 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
"The solution has improved the time it takes to perform tasks related to batch applications.""The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed.""The most valuable feature is the ability to transfer information via notes.""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 data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need.""The ETL tools are probably the most valuable feature. It has an IBM tool, a friendly UI and it makes things more comfortable.""The most valuable feature is the product's versatility to inject data.""Finding logs is very easy on the solution."

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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.""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.""The performance and design of Informatica have been very valuable. I find the performance faster than, say, Oracle Data Integrator or DataStage.""In the end, you have structured, proper data for use in an integrated BI solution.""The features I find most valuable is that the solution is very user-friendly and the graphical design is very easy to understand.""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 most complex task, in this case, was to read and transform BLOB data, and Java transformation in Informatica Power Center was a great solution.""The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed."

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Cons
"The solution should be more user-friendly.""The interface needs work to be more user-friendly.""The documentation and in-application help for this solution need to be improved, especially for new features.""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.""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.""Reduced cost would allow more customers to choose the product. It's quite expensive in relation to the cost of other similar solutions.""The interface needs improvement. It is really too technical. That is the main problem.""The template mapping could be easier."

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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.""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.""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.""Integration with Artificial Intelligence would benefit this solution.""I would like to see an improvement in the digital adoption.""The licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica.""Include more instruments for LOGs analysis, interpretation, and job corrections.""I found it is kind of weird that not all of the mapping changes are treated as true changes."

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Pricing and Cost Advice
"Pricing varies based on use, and it is not as costly as some competing enterprise solutions.""Small and medium-sized companies cannot afford to pay for this solution.""The cost is too high."

More IBM InfoSphere DataStage Pricing and Cost Advice »

"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.""Its maintenance is expensive.""It's much more expensive, almost three times more expensive than most other solutions.""We are satisfied with the pricing."

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Questions from the Community
Top Answer: The solution is quite expensive in comparison to similar solutions.
Top Answer: I think that performance monitoring could be improved. I know that my colleagues don't give good monitoring. I'm not sure if it's because of the product or because they don't do it normally, but… more »
Top Answer: Ease and speed of building integrations, especially integrations between different applications, such as our Hospital Information System.
Top Answer: Integration between different applications, such as Hospital Information Systems built on AS400 and in-house legacy. It is old data structure file based as opposed to relational. Therefore, it was… more »
Ranking
6th
Views
17,136
Comparisons
13,618
Reviews
12
Average Words per Review
514
Avg. Rating
7.9
2nd
Views
40,511
Comparisons
32,420
Reviews
10
Average Words per Review
381
Avg. Rating
8.1
Popular Comparisons
Compared 15% of the time.
Compared 16% 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
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider13%
Insurance Company7%
Media Company6%
REVIEWERS
Financial Services Firm18%
Retailer14%
Healthcare Company9%
Energy/Utilities Company9%
VISITORS READING REVIEWS
Computer Software Company41%
Comms Service Provider13%
Insurance Company7%
Media Company5%
Company Size
REVIEWERS
Small Business45%
Midsize Enterprise5%
Large Enterprise50%
REVIEWERS
Small Business15%
Midsize Enterprise10%
Large Enterprise76%
Find out what your peers are saying about IBM InfoSphere DataStage vs. Informatica PowerCenter and other solutions. Updated: November 2020.
446,626 professionals have used our research since 2012.
IBM InfoSphere DataStage is ranked 6th in Data Integration Tools with 11 reviews while Informatica PowerCenter is ranked 2nd in Data Integration Tools with 14 reviews. IBM InfoSphere DataStage is rated 8.0, while Informatica PowerCenter is rated 8.2. 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, Azure Data Factory, Talend Open Studio, IBM InfoSphere Information Server and Oracle Data Integrator (ODI), whereas Informatica PowerCenter is most compared with SSIS, Informatica Cloud Data Integration, Azure Data Factory, Oracle Data Integrator (ODI) and Pentaho Data Integration. See our IBM InfoSphere DataStage vs. Informatica PowerCenter report.

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