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Informatica PowerCenter vs Spring Cloud Data Flow comparison

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Featured Review
Find out what your peers are saying about Informatica PowerCenter vs. Spring Cloud Data Flow and other solutions. Updated: January 2022.
566,121 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
"It has a Data Catalog that uses the Model repository.""What I like the most is that we have to deal with less while writing the queries.""One of the most valuable features for us is the metadata repository because it can easily understand the lineage of first target mapping. My company and I also find Informatica really easy to use—when a consultant joins our company, in just a few days to a few weeks, they can understand how to use it—so we prefer to use this ETL tool.""The greatest feature is that it is very easy to have someone come in and jump right in. It is one of the nicest tools in terms of getting a person acquainted quickly.""It has helped us monetize.""We have found the PowerCenter and B2B data transformation most valuable.""Complex transformations can be easily achieved by using PowerCenter. The processing layer does transformations and other things. About 80% of my transformations can be achieved by using the middle layer. For the remaining 15% to 20% transformations, I can go in and create stored procedures in the respective databases. Mapplets is the feature through which we can reuse transformations across pipelines. Transformations and caching are the key features that we have been using frequently. Informatica PowerCenter is one of the best solutions or products in the data integration space. We have extensively used PowerCenter for integration purposes. We usually look at the best bridge solution in our architecture so that it can sustain for maybe a couple of years. Usually, we go with the solution that fits best and has proven and time-tested technology.""Ease and speed of building integrations, especially integrations between different applications, such as our Hospital Information System."

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"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."

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Cons
"The pricing could be improved.""The real-time database connectivity when getting the real-time data using the VPN is an area that needs improvement.""Its scalability can be improved. It is not scalable.""I would like to see it be able to import data from NoSQL.""Its interface can be modernized. It is an old product. I have been working with it for 14 years, and it still looks the same. It hasn't been modernized much. It also needs to handle more modern formats, such as JSON files. It works with the old text files and databases, but it does not always work with the newer, modern stuff. You need to make your own programs to support that kind of stuff. Support is also a kind of difficult with Informatica. They don't do direct support and rely on using their distributors around the globe for support, which means that you kind of have to go through this layer of different companies before you get help.""We need another tool for monitoring. It would be easier if all the features were consolidated into one tool.""There is a need to buy a separate license if one wishes to connect with some kind of SAP system, such as SalesForce.""What I didn't like about it is that the platform itself is not great at distributed processing. When you need high parallel processing, it has some inherent issues. We had to use Java transformation, and it did not go very well. I have heard that it is going to the cloud, but we haven't tried that."

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"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."

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Pricing and Cost Advice
  • "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."
  • "It is for big enterprises. We have leveraged Informatica for big enterprises but not for small and medium enterprises because it is a very costly product as compared to other products. We propose this solution only for enterprise customers. For small to medium enterprises, we would propose the Microsoft solution. Its licensing is currently bundle-wise. It should be features-wise and not bundle-wise."
  • "The price of this solution is high."
  • "Our client has purchased the license, and we are using it."
  • "The solution is in the middle price range compared to other solutions."
  • 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 →

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    Questions from the Community
    Top Answer: 
    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 and… more »
    Top Answer: 
    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… more »
    Top Answer: 
    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… more »
    Top Answer: 
    Hi @Mohammad Masudu Rahaman, @Saket Puranik, @MahmoudAbu-Ghali and @Fabio Ferri, Can you chime in here to share your experience and expertise?​
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    390
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    8.4
    16th
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    5,737
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    Also Known As
    PowerCenter
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    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
    Computer Software Company26%
    Financial Services Firm17%
    Retailer9%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Computer Software Company30%
    Comms Service Provider13%
    Financial Services Firm8%
    Energy/Utilities Company7%
    VISITORS READING REVIEWS
    Computer Software Company29%
    Comms Service Provider15%
    Financial Services Firm13%
    Retailer6%
    Company Size
    REVIEWERS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business33%
    Midsize Enterprise14%
    Large Enterprise53%
    No Data Available
    Find out what your peers are saying about Informatica PowerCenter vs. Spring Cloud Data Flow and other solutions. Updated: January 2022.
    566,121 professionals have used our research since 2012.

    Informatica PowerCenter is ranked 1st in Data Integration Tools with 23 reviews while Spring Cloud Data Flow is ranked 16th in Data Integration Tools with 2 reviews. Informatica PowerCenter is rated 8.4, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Informatica PowerCenter writes "A stable, scalable, and mature solution for complex transformations and data integration". 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 Informatica Cloud Data Integration, SSIS, Azure Data Factory, Informatica PowerExchange and Oracle Data Integrator (ODI), whereas Spring Cloud Data Flow is most compared with Apache Flink, TIBCO BusinessWorks, Mule Anypoint Platform, Cloudera DataFlow 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.