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Informatica PowerCenter vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica PowerCenter
Ranking in Data Integration
2nd
Average Rating
8.0
Number of Reviews
80
Ranking in other categories
Data Visualization (8th)
Spring Cloud Data Flow
Ranking in Data Integration
22nd
Average Rating
7.8
Number of Reviews
8
Ranking in other categories
Streaming Analytics (10th)
 

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Informatica PowerCenter is 10.9%, up from 10.1% 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
 

Featured Reviews

Lars Borchers - PeerSpot reviewer
Jul 4, 2023
A stable and reliable product that provides a variety of features for data integration
We use the product for everything that's possible in data integration. We have a data warehouse, and we load each stage. We use the product for data exchange and API services. We also use it to load data into cloud platforms and generate Customer Letters The reliability of the product and the way…
NitinGoyal - PeerSpot reviewer
Aug 15, 2024
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

"Has a good visual tool for data mapping."
"In the end, you have structured, proper data for use in an integrated BI solution."
"It has good standard features for ETL development."
"Once you have learned Informatica, it is very easy to use."
"It's very easy to use it to develop mappings and workflows."
"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."
"It is very comprehensive in terms of connector and transformation capabilities from both a source and target perspective."
"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 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."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"The most valuable feature is real-time streaming."
"The product is very user-friendly."
"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."
 

Cons

"If you want to transfer a ZIP file, it is a pain. You need to use Command-Line. Sometimes we just want to transfer a file. It should be easy to move them from A to B."
"PowerCenter could integrate better with cloud applications. We had to do a lot of configuration work using API integrations to connect with cloud applications. Informatica Cloud Data Integration has a generic connector that you can use directly, so it's much easier."
"We had stability issues, mostly with JVM size."
"The only problem with this product is the level of complexity with the number of levels of transformation that you have to go through."
"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."
"The licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica."
"Integrated Reporting service should be more smoothly transitioned from view to function to be in sync with the main design."
"The pricing could be improved."
"The solution's community support could be improved."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"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."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"I would improve the dashboard features as they are not very user-friendly."
 

Pricing and Cost Advice

"The price of this solution is high."
"We have found the pricing very cost-effective. The licensing is CPU and data source-based."
"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."
"Our client has purchased the license, and we are using it."
"The solution is in the middle price range compared to other solutions."
"Cost could be improved."
"We are using an annual license for Informatica PowerCenter."
"Compared to other tools, I think PowerCenter is a bit expensive. When I compare it to Oracle, if you want to use Oracle databases, you can easily get an ODI tool, so it's easier to handle. Informatica is a standalone tool—it's an independent company—and there are no databases around them, so it's quite expensive to use. Generally, large companies use PowerCenter because of the price. If companies want to expand their usage areas, they try to consider if it's easy to implement and easy to understand the pricing. I think the pricing is a barrier for Informatica."
"This is an open-source product that can be used free of charge."
"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."
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Comparison Review

it_user90069 - PeerSpot reviewer
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
13%
Manufacturing Company
7%
Insurance Company
7%
Financial Services Firm
29%
Computer Software Company
16%
Manufacturing Company
7%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
I would improve the dashboard features as they are not very user-friendly. Another area for improvement is the documentation, as it is not very precise. There are limited resources available on Spr...
What is your primary use case for Spring Cloud Data Flow?
I am a developer using Spring Cloud Dataflow. We primarily use it to convert our applications from monolithic to microservices. The solution is used for scheduling tasks in a specific order and ens...
What advice do you have for others considering Spring Cloud Data Flow?
My advice would be to thoroughly review the documentation and understand if Spring Cloud Dataflow is the right solution for your application. For applications with only one or two microservices, it...
 

Also Known As

PowerCenter
No data available
 

Overview

 

Sample Customers

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Information Not Available
Find out what your peers are saying about Informatica PowerCenter vs. Spring Cloud Data Flow and other solutions. Updated: October 2024.
814,763 professionals have used our research since 2012.