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Informatica PowerCenter vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

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

Categories and Ranking

Informatica PowerCenter
Ranking in Data Integration
4th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
84
Ranking in other categories
Data Visualization (12th)
Spring Cloud Data Flow
Ranking in Data Integration
22nd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (10th)
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Informatica PowerCenter is 3.2%, down from 9.6% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Informatica PowerCenter3.2%
Spring Cloud Data Flow1.1%
Other95.7%
Data Integration
 

Featured Reviews

Garima Goel - PeerSpot reviewer
Associate Principal Engineer at Nagarro
Has supported complex data pipeline creation but performance tuning and monitoring responsiveness need improvement
Sometimes, I see various performance issues with Informatica PowerCenter, including caching concerns, whether it's a joiner transformation or other transformations, so I believe the team can enhance the performance perspectives of these transformations. Additionally, sometimes the Informatica Monitor hangs or takes time to open the current run or logs, which the team can also look into. Informatica is transitioning to cloud solutions and discontinuing on-premise support after 2026, so when we discuss Informatica Cloud and its support, it becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing. Informatica Cloud Intelligence's pricing is notably high.
NitinGoyal - PeerSpot reviewer
Engineering Lead at Naukri.com
Has a plug-and-play model and provides good robustness and scalability
The solution's community support could be improved. I don't know why the Spring Cloud Data Flow community is not very strong. Community support is very limited whenever you face any problem or are stuck somewhere. I'm not sure whether it has improved in the last six months because this pipeline was set up almost two years ago. I struggled with that a lot. For example, there was limited support whenever I got an exception and sought help from Stack Overflow or different forums. Interacting with Kubernetes needs a few certificates. You need to define all the certificates within your application. With the help of those certificates, your Java application or Spring Cloud Data Flow can interact with Kubernetes. I faced a lot of hurdles while placing those certificates. Despite following the official documentation to define all the replicas, readiness, and liveliness probes within the Spring Cloud Data Flow application, it was not working. So, I had to troubleshoot while digging in and debugging the internals of Spring Cloud Data Flow at that time. It was just a configuration mismatch, and I was doing nothing weird. There was a small spelling difference between how Spring Cloud Data Flow was expecting it and how I passed it. I was just following the official documentation.

Quotes from Members

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

Pros

"It is UI friendly and has all the advantages of an ETL tool."
"My overall experience with Informatica PowerCenter is positive."
"The setup is very simple."
"It provides monitoring and we can therefore be aware of what is happening when we are handling jobs."
"UI-based ability to create data mapping."
"The support is valuable. There are also open-source ETL products, which work very well, but there is no support. When we face a production problem, being able to get support is valuable, and it brings efficiency. With an open-source solution, we can't engage anyone to resolve the problem as quickly as possible."
"The technical support for Informatica PowerCenter is good."
"What I like the most is that we have to deal with less while writing the queries."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"The most valuable feature is real-time streaming."
"The ease of deployment on Kubernetes, the seamless integration for orchestration of various pipelines, and the visual dashboard that simplifies operations even for non-specialists such as quality analysts."
"The solution's most valuable feature is that it allows us to use different batch data sources, retrieve the data, and then do the data processing, after which we can convert and store it in the target."
"The product is very user-friendly."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
 

Cons

"The reputation of Informatica is that it is expensive."
"Integrated Reporting service should be more smoothly transitioned from view to function to be in sync with the main design."
"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."
"In terms of performance improvement and tuning, there should be a bit more guidance and documentation."
"Include more instruments for LOGs analysis, interpretation, and job corrections."
"What needs improvement in Informatica PowerCenter is the cloud experience because, nowadays, other companies, such as AWS, Azure, and Google, have more experience in the cloud. The pricing for Informatica PowerCenter on the cloud is also very expensive for customers, so some customers prefer open-source tools or lower-priced tools, such as Azure. From my point of view, Informatica must work on the pricing policy and review the policy on the cloud for Informatica PowerCenter or propose more tools with lower pricing. Clients want the automatic integration of Informatica PowerCenter with other tools. Currently, the integration process is manual, and you have to add other tools to facilitate the integration, especially with the DevOps methodology. You need scripts and tools for the integration, and you'll need to use other integration tools if you want automatic deployment for Informatica PowerCenter, so this is another area for improvement in the solution. What I'd like to see in the next release of the solution is for the integration with APIs to be simpler, because currently, the API integration feature of Informatica PowerCenter is very difficult. It's not intuitive. You have to facilitate API integration and the real-time streaming of messages in Kafka, for example, so that should be improved."
"Integrating new tools can be tricky and challenging."
"Integration with Artificial Intelligence would benefit this solution."
"There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or refreshing the dashboard."
"I would improve the dashboard features as they are not very user-friendly."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"The solution's community support could be improved."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
 

Pricing and Cost Advice

"The pricing for Informatica PowerCenter is expensive. Some clients have simple needs and only want to integrate and store data. Some clients have small needs, while some clients have bigger needs and focus more on performance and time. The licensing cost for Informatica PowerCenter isn't good. In my project, if I remember correctly, the company pays €20,000 per year for the Informatica PowerCenter license. I'm not aware of additional costs that you need to pay for some features of the solution. On a scale of one to five, I'm rating its price a three."
"Its licensing is expensive in terms of scaling."
"It's much more expensive, almost three times more expensive than most other solutions."
"The price is mostly reasonable."
"The solution is in the middle price range compared to other solutions."
"I rate the product's price a ten on a scale of one to ten, where one is a low price, and ten is a high price."
"A basic setup can be from $100,000 and up annually."
"The price could be better. It's very expensive. On a scale from one to five, I would give Informatica PowerCenter's price a one."
"The solution provides value for money, and we are currently using its community edition."
"If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."
"This is an open-source product that can be used free of charge."
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Comparison Review

it_user90069 - PeerSpot reviewer
BI Expert at a healthcare company with 1,001-5,000 employees
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
8%
Manufacturing Company
8%
Government
7%
Financial Services Firm
19%
Computer Software Company
12%
Retailer
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise11
Large Enterprise73
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What needs improvement with Spring Cloud Data Flow?
There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or r...
What is your primary use case for Spring Cloud Data Flow?
We had a project for content management, which involved multiple applications each handling content ingestion, transformation, enrichment, and storage for different customers independently. We want...
What advice do you have for others considering Spring Cloud Data Flow?
I would definitely recommend Spring Cloud Data Flow. It requires minimal additional effort or time to understand how it works, and even non-specialists can use it effectively with its friendly docu...
 

Also Known As

PowerCenter
No data available
 

Overview

 

Sample Customers

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Information Not Available
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