Compare Informatica PowerCenter vs. Spring Cloud Data Flow

Cancel
You must select at least 2 products to compare!
Most Helpful Review
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.
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."

More Informatica PowerCenter Pros »

"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."

More Spring Cloud Data Flow Pros »

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."

More Informatica PowerCenter Cons »

"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."

More Spring Cloud Data Flow Cons »

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."

More Informatica PowerCenter Pricing and Cost Advice »

"This is an open-source product that can be used free of charge."

More Spring Cloud Data Flow Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Data Integration Tools solutions are best for your needs.
455,301 professionals have used our research since 2012.
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: 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
1st
Views
40,460
Comparisons
32,402
Reviews
14
Average Words per Review
367
Rating
8.2
18th
Views
4,676
Comparisons
3,781
Reviews
2
Average Words per Review
1,101
Rating
8.0
Popular Comparisons
Compared 16% 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.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

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
REVIEWERS
Financial Services Firm18%
Retailer14%
Healthcare Company9%
Energy/Utilities Company9%
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider13%
Insurance Company6%
Financial Services Firm6%
VISITORS READING REVIEWS
Computer Software Company36%
Comms Service Provider14%
Financial Services Firm11%
Retailer6%
Company Size
REVIEWERS
Small Business14%
Midsize Enterprise10%
Large Enterprise76%
VISITORS READING REVIEWS
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.

See our list of best Data Integration Tools vendors.

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.