AWS Data Pipeline [EOL] vs IBM Cloud Pak for Integration comparison

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Executive Summary

We performed a comparison between AWS Data Pipeline [EOL] and IBM Cloud Pak for Integration 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: March 2024).
767,847 professionals have used our research since 2012.
Featured Review
BarathwajRamamoorthy
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 feature of the solution is that orchestration and development capabilities are easier with the tool.""It is a stable solution...It is a scalable solution."

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"It is a stable solution.""Cloud Pak for Integration is definitely scalable. That is the most important criteria.""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 policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature.""The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."

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Cons
"It's almost semi-automatic because you must review and approve code push, which works well. Still, we had many problems getting there during the deployment process, but we got there.""The user-defined functions have shortcomings in AWS Data Pipeline."

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"The initial setup is not easy.""The pricing can be improved.""Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM.""Its queuing and messaging features need improvement."

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Pricing and Cost Advice
  • "The way we use it, I think it is fair as we're getting a good value for money compared to having a server or some other data pipeline."
  • "I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price."
  • More AWS Data Pipeline [EOL] Pricing and Cost Advice →

  • "The solution's pricing model is very flexible."
  • "It is an expensive solution."
  • More IBM Cloud Pak for Integration Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.
    Top Answer:I rate the pricing between six to eight on a scale from one to ten, where one is low price, and ten is high price.
    Top Answer:The user-defined functions have shortcomings in AWS Data Pipeline. The user-defined functions could be one of the areas where I can write a custom function and embed it as a part of AWS Data Pipeline… more »
    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.
    Ranking
    Unranked
    In Cloud Data Integration
    14th
    Views
    818
    Comparisons
    578
    Reviews
    1
    Average Words per Review
    498
    Rating
    9.0
    Comparisons
    Learn More
    Overview

    AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. ... AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

    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.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    CVS Health Corporation
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company21%
    Financial Services Firm18%
    Government9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company15%
    Financial Services Firm15%
    Manufacturing Company7%
    Government7%
    Company Size
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    Buyer's Guide
    Cloud Data Integration
    March 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
    767,847 professionals have used our research since 2012.

    AWS Data Pipeline [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration with 2 reviews while IBM Cloud Pak for Integration is ranked 14th in Cloud Data Integration with 4 reviews. AWS Data Pipeline [EOL] is rated 8.0, while IBM Cloud Pak for Integration is rated 8.6. The top reviewer of AWS Data Pipeline [EOL] writes "A tool with great orchestration and development capabilities but needs to improve its user-defined functions". On the other hand, the top reviewer of IBM Cloud Pak for Integration writes "A hybrid integration platform that applies the functionality of closed-loop AI automation". AWS Data Pipeline [EOL] is most compared with AWS Database Migration Service, AWS Glue, Oracle Data Integrator (ODI), FME and Informatica PowerCenter, whereas IBM Cloud Pak for Integration is most compared with IBM App Connect, IBM API Connect, IBM DataPower Gateway, Microsoft Azure API Management and MuleSoft Anypoint API Manager.

    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.