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

674 Views
509 Comparison Views

100% willing to recommend

AWS Data Pipeline [EOL]

IBM Cloud Pak for Integration

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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: January 2025).

Buyer's Guide

Cloud Data Integration

January 2025

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Helped 831,369 peers since 2012

Review summaries and opinions

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

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

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

API Management (25th), 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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Igor Khalitov

Owner/Full Stack Software Engineer at Maraphonic, Inc.

Manages APIs and integrates microservices with redirection feature

IBM Cloud Pak for Integration includes monitoring capabilities to track the performance and health of your integrations. You can quickly roll back to a previous version if an issue arises. Additionally, it supports incremental deployments, allowing you to shift traffic to a new version of an API gradually. For example, you can start by directing 10% of traffic to the new version while the rest continue using the legacy version. If everything works as expected, you can gradually increase the traffic to the new version over time. IBM Cloud Pak for Integration has a client base that includes numerous organizations using AI and machine learning technologies. We leverage an open-source machine learning framework and integrate it with Kafka to help create and manage various products and data retrieval processes. For companies with private data, the framework first retrieves relevant data from a GitHub database, which is then combined with the final request before being sent to a language model like GPT. This ensures that the language model uses your specific data to generate responses. Kafka plays a key role by streaming real-time data from file systems and databases like Oracle and Microsoft SQL. This data is published to Kafka topics, then vectorized and used with artificial intelligence to enhance the overall process. It's like an old-fashioned approach. The best way is to redesign it with products such as Kafka. Overall, I rate the solution an eight 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."

"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."

"Cloud Pak for Integration is definitely scalable. That is the most important criteria."

"It is a stable solution."

"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."

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."

"The pricing can be improved."

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

"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

Computer Software Company

22%

Financial Services Firm

21%

Government

Healthcare Company

Financial Services Firm

19%

Computer Software Company

14%

Government

Manufacturing 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

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Compared 19% of the time

AWS Glue vs IBM Cloud Pak for Integration

Compared 11% of the time

IBM DataPower Gateway vs IBM Cloud Pak for Integration

Compared 7% of the time

Microsoft Azure API Management vs IBM Cloud Pak for Integration

Compared 6% of the time

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Product Reports

Buyer's Guide

Cloud Data Integration

January 2025

Download AWS Data Pipeline [EOL] product report

Buyer's Guide

API Management

December 2024

Download IBM Cloud Pak for Integration product report

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.

Amazon Web Services (AWS)

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.

IBM

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

CVS Health Corporation

Buyer's Guide

Cloud Data Integration

January 2025

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