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

Amazon Web Services (AWS) and IBM are both solutions in the Cloud Data Integration category. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.
IBM Cloud Pak for Integration
Read 5 IBM Cloud Pak for Integration reviews
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  • 528 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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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), Informatica, Salesforce and others in Cloud Data Integration.

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To learn more, read our detailed Cloud Data Integration Report (Updated: October 2024).
Buyer's Guide
Cloud Data Integration
October 2024
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Helped 814,763 peers since 2012
 

Categories and Ranking

AWS Data Pipeline [EOL]
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
IBM Cloud Pak for Integration
Average Rating
8.6
Number of Reviews
5
Ranking in other categories
API Management (24th), Cloud Data Integration (16th)
 

Featured Reviews

Geoffrey Leigh - PeerSpot reviewer
Jun 9, 2023
A stable, scalable, and reliable solution for moving and processing data
We're only considering enhancing the presentation layer to give a more multidimensional OLAP view that AWS seems to have decided on. Redshift with the data mart structure is like an OLAP cube. Oracle Analytics Cloud is an over-code killer and is not what we need. I was looking at Mondrian, which used to be part of the open-source stack from another vendor that works. Still, I am also looking at some of the other OLAP environments like Kaiser and perhaps decided to go to Azure with Microsoft Azure analysis cloud, but that's not multidimensional either as SSAS used to be. We tried the Mondrian, and that didn't perform how we expected. So, we are looking at resetting something to perform as an OLAP in the cloud, particularly AWS, so that we might consider an Azure solution.
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Neelima Golla - PeerSpot reviewer
Oct 6, 2023
A hybrid integration platform that applies the functionality of closed-loop AI automation
I recommend using it because, in today's context, the cloud plays a significant role. Within the same user interface, you can develop applications and manage multiple applications, making it a more user-friendly option. Moreover, you can explore various other technologies while deploying on the cloud, broadening your knowledge of cloud technologies. In my case, the transition led to my learning of Kubernetes, enabling multi-scaling and expanding my technical skills. It was a valuable experience, and I had the opportunity to learn many new things during the migration process. I can easily rate it an eight or nine out of ten.
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Quotes from Members

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

Pros

"It is a stable solution...It is a scalable solution."
"The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"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."
"It is a stable solution."
 

Cons

"The user-defined functions have shortcomings in AWS Data Pipeline."
"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."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"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."
"The initial setup is not easy."
"The pricing can be improved."
 

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."
"The solution's pricing model is very flexible."
"It is an expensive solution."
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Top Industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
20%
Government
8%
Manufacturing Company
5%
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
10%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What do you like most about AWS Data Pipeline?
The most valuable feature of the solution is that orchestration and development capabilities are easier with the tool.
See all answers
What is your experience regarding pricing and costs for AWS 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.
See all answers
What needs improvement with AWS Data Pipeline?
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 Pipeli...
See all answers
What do you like most about IBM Cloud Pak for Integration?
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 ...
See all answers
What needs improvement with IBM Cloud Pak for Integration?
Enterprise bots are needed to balance products like Kafka and Confluent.
See all answers
What is your primary use case for IBM Cloud Pak for Integration?
It manages APIs and integrates microservices at the enterprise level. It offers a range of capabilities for handling APIs, microservices, and various integration needs. The platform supports thousa...
See all answers
 

Comparisons

AWS Database Migration Service vs AWS Data Pipeline [EOL] Logo
AWS Database Migration Service vs AWS Data Pipeline [EOL]
Compared 75% of the time
Oracle Data Integrator (ODI) vs AWS Data Pipeline [EOL] Logo
Oracle Data Integrator (ODI) vs AWS Data Pipeline [EOL]
Compared 25% of the time
More AWS Data Pipeline [EOL] Competitors
IBM App Connect vs IBM Cloud Pak for Integration Logo
IBM App Connect vs IBM Cloud Pak for Integration
Compared 43% of the time
IBM API Connect vs IBM Cloud Pak for Integration Logo
IBM API Connect vs IBM Cloud Pak for Integration
Compared 18% of the time
IBM DataPower Gateway vs IBM Cloud Pak for Integration Logo
IBM DataPower Gateway vs IBM Cloud Pak for Integration
Compared 9% of the time
AWS Glue vs IBM Cloud Pak for Integration Logo
AWS Glue vs IBM Cloud Pak for Integration
Compared 9% of the time
IBM InfoSphere DataStage vs IBM Cloud Pak for Integration Logo
IBM InfoSphere DataStage vs IBM Cloud Pak for Integration
Compared 8% of the time
More IBM Cloud Pak for Integration Competitors
 

Product Reports

Buyer's Guide
Cloud Data Integration
October 2024
AWS Data Pipeline [EOL] reportDownload AWS Data Pipeline [EOL] product report
Buyer's Guide
API Management
October 2024
IBM Cloud Pak for Integration reportDownload IBM Cloud Pak for Integration product report
 

Learn More

Amazon Web Services (AWS)
IBM
 

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
Buyer's Guide
Cloud Data Integration
October 2024
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