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Airbyte Cloud vs IBM Cloud Pak for Integration comparison

 

Comparison Buyer's Guide

Executive Summary

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

Airbyte Cloud
Ranking in Cloud Data Integration
24th
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
Data Integration (44th)
IBM Cloud Pak for Integration
Ranking in Cloud Data Integration
16th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
API Management (28th)
 

Mindshare comparison

As of January 2026, in the Cloud Data Integration category, the mindshare of Airbyte Cloud is 0.1%. The mindshare of IBM Cloud Pak for Integration is 1.7%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
IBM Cloud Pak for Integration1.7%
Airbyte Cloud0.1%
Other98.2%
Cloud Data Integration
 

Featured Reviews

Bhaglal Kapar - PeerSpot reviewer
Senior System Engineer at a manufacturing company with 51-200 employees
Data workflows have accelerated and now optimize migration and cost management
The best feature Airbyte Cloud offers is data transformation. Airbyte Cloud has positively impacted our organization by being very helpful and speeding up our work environment. An example of how it has helped speed things up is that we have data here and there, which helps us to organize and speed up our migration. Data tasks help our workflow and organization because most of the things we do manually, so that helps organize.
Igor Khalitov - PeerSpot reviewer
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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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Government
13%
Insurance Company
8%
Computer Software Company
8%
 

Company Size

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

Questions from the Community

What is your experience regarding pricing and costs for Airbyte Cloud?
My experience with pricing, setup cost, and licensing was good.
What needs improvement with Airbyte Cloud?
Airbyte Cloud can be improved because it looks good so far, but based on the AI coming, they have to catch up with AI agents. Everything seems to be going through AI, so that is a consideration for...
What is your primary use case for Airbyte Cloud?
Airbyte Cloud's main use case for our organization is to optimize our cost. A specific example of how we're using Airbyte Cloud to optimize costs is that we have some tools, and they also help us t...
What needs improvement with IBM Cloud Pak for Integration?
Enterprise bots are needed to balance products like Kafka and Confluent.
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...
What advice do you have for others considering IBM Cloud Pak for Integration?
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. Addition...
 

Overview

 

Sample Customers

Information Not Available
CVS Health Corporation
Find out what your peers are saying about Airbyte Cloud vs. IBM Cloud Pak for Integration and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.