IBM Cloud Pak for Integration vs Informatica Data Engineering Streaming comparison

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Executive Summary

We performed a comparison between IBM Cloud Pak for Integration and Informatica Data Engineering Streaming based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: April 2024).
770,292 professionals have used our research since 2012.
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Pricing and Cost Advice
  • "The solution's pricing model is very flexible."
  • "It is an expensive solution."
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    770,292 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our… more »
    Top Answer:The use cases involve connecting and converting data from one system to another, often involving alterations in the data's format or structure.
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    Ranking
    14th
    Views
    837
    Comparisons
    583
    Reviews
    1
    Average Words per Review
    498
    Rating
    9.0
    21st
    out of 38 in Streaming Analytics
    Views
    539
    Comparisons
    518
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
    Learn More
    Overview

    IBM Cloud Pak for Integration gives you complete, flexible integration using capabilities you need to move at today's speed of business, including the tools to help you achieve your application modernization goals as part of your journey to the cloud.

    Informatica Intelligent Streaming allows organizations to prepare and process streams of data and uncover insights while acting in time to suit business needs. It can scale out horizontally and vertically to handle petabytes of data while honoring business service level agreements (SLAs). Intelligent Streaming provides pre-built high-performance connectors such as Kafka, HDFS, NoSQL databases, and enterprise messaging systems and data transformations to enable a code-free method of defining your data integration logic.

    Sample Customers
    CVS Health Corporation
    Jewelry TV
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company15%
    Manufacturing Company7%
    Government7%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company16%
    Manufacturing Company14%
    Insurance Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise8%
    Large Enterprise69%
    Buyer's Guide
    Cloud Data Integration
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: April 2024.
    770,292 professionals have used our research since 2012.

    IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews while Informatica Data Engineering Streaming is ranked 21st in Streaming Analytics. IBM Cloud Pak for Integration is rated 8.6, while Informatica Data Engineering Streaming is rated 0.0. The top reviewer of IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". On the other hand, IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, MuleSoft Anypoint API Manager and Microsoft Azure API Management, whereas Informatica Data Engineering Streaming is most compared with Google Cloud Dataflow, Apache Flink, Starburst Enterprise, Databricks and Mule Anypoint Platform.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration 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.