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.

AWS Data Pipeline [EOL]

Read 2 AWS Data Pipeline [EOL] reviews

100% willing to recommend

IBM Cloud Pak for Integration

Read 5 IBM Cloud Pak for Integration reviews

718 Views
528 Comparison Views

100% willing to recommend

AWS Data Pipeline [EOL]

IBM Cloud Pak for Integration

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.

To learn more, read our detailed Cloud Data Integration Report (Updated: November 2024).

Buyer's Guide

Cloud Data Integration

November 2024

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Helped 816,660 peers since 2012

Categories and Ranking

AWS Data Pipeline [EOL]

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Cloud Pak for Integration

Average Rating

8.6

Number of Reviews

Ranking in other categories

API Management (24th), Cloud Data Integration (16th)

Featured Reviews

Geoffrey Leigh

Chief Data Strategy and Governance Architect at INDEPENDENT PURCHASING COOPERATIVE, INC

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

Senior Software Engineer at NessPRO Italy

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."

"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."

"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."

"It is a stable solution."

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."

"Enterprise bots are needed to balance products like Kafka and Confluent."

"The pricing can be improved."

"Its queuing and messaging features need improvement."

"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."

"The initial setup is not easy."

Pricing and Cost Advice

"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 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."

"It is an expensive solution."

"The solution's pricing model is very flexible."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

20%

Government

Manufacturing Company

Financial Services Firm

18%

Computer Software Company

14%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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]

Compared 75% of the time

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

Compared 45% of the time

IBM API Connect vs IBM Cloud Pak for Integration

Compared 17% of the time

IBM DataPower Gateway vs IBM Cloud Pak for Integration

Compared 9% of the time

AWS Glue vs IBM Cloud Pak for Integration

Compared 9% of the time

IBM InfoSphere DataStage vs IBM Cloud Pak for Integration

Compared 7% of the time

More IBM Cloud Pak for Integration Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

November 2024

Download AWS Data Pipeline [EOL] product report

Buyer's Guide

API Management

November 2024

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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

November 2024

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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.