Compare Informatica PowerCenter vs. Spring Cloud Data Flow
Quotes From Members
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros | |
"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." | "The most valuable feature is real-time streaming." "There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure." |
Cons | |
"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." | "Some of the features, like the monitoring tools, are not very mature and are still evolving." "The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation." |
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." "I consider this to be an expensive product." | "This is an open-source product that can be used free of charge." |
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Questions from the Community | |
Top Answer: Ease and speed of building integrations, especially integrations between different applications, such as our Hospital Information System. Top Answer: Its maintenance is expensive. 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 » | Ask a question Earn 20 points |
Ranking  | |
Views 40,460 Comparisons 32,402 Reviews 14 Average Words per Review 367 Rating 8.2 | Views 4,676 Comparisons 3,781 Reviews 2 Average Words per Review 1,101 Rating 8.0 |
Popular Comparisons | |
 Compared 16% of the time.  Compared 14% of the time. Compared 9% of the time.  Compared 8% of the time. Compared 8% of the time. |  Compared 21% of the time.  Compared 12% of the time. Compared 11% of the time.  Compared 9% of the time.  Compared 2% of the time. |
Also Known As | |
| PowerCenter | |
Learn | |
| Informatica | VMware |
Overview | |
Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems. | Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines. |
Offer | |
Learn more about Informatica PowerCenter | Learn more about Spring Cloud Data Flow |
Sample Customers | |
| University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank | Information Not Available |
Top Industries | |
Financial Services Firm18% Retailer14% Healthcare Company9% Energy/Utilities Company9% Computer Software Company38% Comms Service Provider13% Insurance Company6% Financial Services Firm6% | Computer Software Company36% Comms Service Provider14% Financial Services Firm11% Retailer6% |
Company Size | |
Small Business14% Midsize Enterprise10% Large Enterprise76% Small Business2% Midsize Enterprise12% Large Enterprise86% | No Data Available |
Find out what your peers are saying about Informatica PowerCenter vs. Spring Cloud Data Flow and other solutions. Updated: January 2021.
455,301 professionals have used our research since 2012.
Informatica PowerCenter is ranked 1st in Data Integration Tools with 16 reviews while Spring Cloud Data Flow is ranked 18th in Data Integration Tools with 2 reviews. Informatica PowerCenter is rated 8.2, while Spring Cloud Data Flow is rated 8.0. 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". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Informatica PowerCenter is most compared with SSIS, Informatica Cloud Data Integration, Azure Data Factory, Oracle Data Integrator (ODI) and Informatica PowerExchange, whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, Apache Spark Streaming, Mule Anypoint Platform and IBM InfoSphere DataStage. See our Informatica PowerCenter vs. Spring Cloud Data Flow report.
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