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IBM Cloud Pak for Integration vs Oracle Data Integrator Cloud Service comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 2024

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

IBM Cloud Pak for Integration
Ranking in Cloud Data Integration
15th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
API Management (26th)
Oracle Data Integrator Clou...
Ranking in Cloud Data Integration
20th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Cloud Data Integration category, the mindshare of IBM Cloud Pak for Integration is 2.1%, up from 1.9% compared to the previous year. The mindshare of Oracle Data Integrator Cloud Service is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

Featured Reviews

Igor Khalitov - PeerSpot reviewer
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.
Peeyush Chouksey - PeerSpot reviewer
Allows us to integrate different cloud services with different applications
It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot. When it comes to mapping, you are quite restricted. If you have to use a specific, typical function, you need to do a Java callout or something. OSB has a lot of features they are using like Java APIs because it's on-premises.

Quotes from Members

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

Pros

"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"It is a stable solution."
"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's on the cloud, so it's scalable and quite easy to work with."
"The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process."
"The solution is easy to manage and offers good integration. You can run all the tasks one by one which is really helpful, and pick the day and time to do so."
"Oracle integration cloud has got the adapters for all their products, which makes integration faster."
"The most valuable thing to me is its simplicity. A person with zero knowledge can also develop the integration without having extensive technology knowledgebase. They can also work on creating their own integration."
"Having a single vendor supporting the entire suite of applications."
"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."
 

Cons

"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."
"Its queuing and messaging features need improvement."
"The pricing can be improved."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process straightforward."
"Bulk uploading can be a problem when you hit the upper limit."
"The pricing could be more competitive."
"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."
"I've found technical support not very effective. They should work to improve their services."
"I would like to see different cloud adapters or connectors in case of integration. When you have Oracle to Oracle, they are good. They have really good connectors, but if it is a different ERP, like Obsidian, that is where they are faced with problems in OIC."
"This is an expensive solution compared to other products on the market."
 

Pricing and Cost Advice

"It is an expensive solution."
"The solution's pricing model is very flexible."
"The price is competitive compared to Boomi which is much higher."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
10%
Insurance Company
8%
Government
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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 ...
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 do you like most about Oracle Data Integrator Cloud Service?
The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process.
What needs improvement with Oracle Data Integrator Cloud Service?
It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process str...
What is your primary use case for Oracle Data Integrator Cloud Service?
I have experience working with Korean Telecom (Katie) on various projects involving data integration, especially with Oracle databases. These projects included tasks such as data collection, ETL (E...
 

Overview

 

Sample Customers

CVS Health Corporation
Amplifon
Find out what your peers are saying about IBM Cloud Pak for Integration vs. Oracle Data Integrator Cloud Service and other solutions. Updated: June 2025.
860,711 professionals have used our research since 2012.