Sold by: IBM Software
Deployed on AWS
Cloud Pak for Integration is the most complete and optimised environment for creating deploying and managing cloud native integrations anywhere you have Red Hat OpenShift Container Platform.
4.2
Overview
IBM Cloud Pak for Integration (CP4I) provides secure, automated integration tools that connect applications and data across any cloud or on-premises environment to enable your business to digitally transform and grow. With CP4I you can unlock business data and assets as APIs, connect cloud and on-premises applications, move data reliably as messages, deliver real time event interactions, transfer data of any size across any cloud, and deploy and scale easily with a cloud native architecture and shared foundational services, all with end-to-end enterprise-grade security and encryption. Cloud Pak for Integration provides the broadest set of integration capabilities, with a single unified experience. Please contact IBM on AWScp4isales@ibm.com for further information or for custom pricing options. Note that this is a software product and not a SaaS offering, and purchasing this entitlement on AWS is purchasing entitlement to the IBM Cloud Pak for Integration software only.
Highlights
- API Management with IBM API Connect and IBM DataPower An intuitive experience to consistently create, manage, secure, socialize and monetize APIs, helping power digital transformation on-premises and across clouds. Application Integration with IBM App Connect Enterprise Rapidly connect all your applications and data wherever they reside. Leverage AI-powered mapping and transformation capabilities, hundreds of pre-built connectors and customizable templates to accelerate time to value.
- Event Integration with Apache Kafka-based IBM Event Streams and IBM Event Endpoint Management Enable your business to access events and distribute them at scale in real-time. Make it simple for any user to discover and consume events while maintaining effective control. High speed data transfer with IBM Aspera High Speed Transfer Server Move data of any size across any distance with predictable and consistent high speed, security and reliability.
- Assured delivery of business-critical data with IBM MQ and IBM MQ Advanced Reliably and securely exchange data between applications, systems and services across hybrid and multi-cloud environments with built-in high availability. End-to-End Security with IBM DataPower Gateway Secure, optimise and integrate modern, traditional and hybrid cloud workloads with a powerful application gateway. Protect your critical enterprise applications with the highest level of security assurance certification.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
CP4I VPC | Entitlements for Cloud Pak for Integration VPCs | $13,158.00 |
Dimensions summary
This listing has one pricing dimension: CP4I VPC (Units). You buy entitlements measured in Virtual Processor Cores (VPCs) for Cloud Pak for Integration. Pricing scales with the number of VPC units you commit to under a contract. You add units as your processing needs grow, so the total cost tracks the compute capacity you entitle. The platform runs as containerized integration capabilities within a Red Hat OpenShift environment, and a single entitlement pool covers the included integration functions across that deployment.
Top-of-mind questions for buyers
A VPC unit is a Virtual Processor Core assigned to the containerized integration workloads you run. You count the processor cores allocated to the software within your Red Hat OpenShift deployment. Each core you entitle equals one unit against your entitlement pool.
Your entitlement covers the included integration functions across the deployment. These include API management, integration flow design, messaging, event streaming, event endpoint management, gateway security, and high-speed file transfer. A single entitlement pool draws down across whichever capabilities you deploy.
Cost tracks the number of VPC units you commit to. When your processing needs grow, you add units to your entitlement, and the total scales with the cores you entitle. You do not pay for capacity beyond the units in your pool.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Entitlement to IBM Cloud Pak for Integration includes access to IBM Support available globally 24 by 7. Support is also available here
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Kim M.
Unified, Cloud-Native Integration Platform on OpenShift That Simplifies Architecture
Reviewed on Jul 15, 2026
Review provided by G2
What do you like best about the product?
It provides a complete integration platform rather than a collection of standalone products. Having API Connect, App Connect, IBM MQ, Event Streams, DataPower, Aspera, and shared platform services running on the same OpenShift foundation simplifies the architecture and creates a consistent operational model.
I also appreciate the cloud-native approach. Everything is deployed as Kubernetes operators, making it easier to automate installations, upgrades, and configuration using GitOps and CI/CD pipelines. Once the platform is established, new environments can be deployed in a repeatable and consistent manner.
Another strength is the integration between the products. APIs exposed through API Connect can easily integrate with App Connect flows, IBM MQ messaging, Kafka events, and DataPower security policies, all within the same ecosystem. This significantly reduces integration effort compared to stitching together multiple vendors' products.
One of the major advantages of IBM Cloud Pak for Integration is its flexible licensing model. A Cloud Pak for Integration (CP4I) license is not tied to a single product. Instead, the available Virtual Processor Core (VPC) entitlement can be allocated to any of the supported components, such as IBM API Connect, App Connect, IBM MQ, Event Streams, DataPower Gateway, Aspera, or other eligible capabilities.
I also appreciate the cloud-native approach. Everything is deployed as Kubernetes operators, making it easier to automate installations, upgrades, and configuration using GitOps and CI/CD pipelines. Once the platform is established, new environments can be deployed in a repeatable and consistent manner.
Another strength is the integration between the products. APIs exposed through API Connect can easily integrate with App Connect flows, IBM MQ messaging, Kafka events, and DataPower security policies, all within the same ecosystem. This significantly reduces integration effort compared to stitching together multiple vendors' products.
One of the major advantages of IBM Cloud Pak for Integration is its flexible licensing model. A Cloud Pak for Integration (CP4I) license is not tied to a single product. Instead, the available Virtual Processor Core (VPC) entitlement can be allocated to any of the supported components, such as IBM API Connect, App Connect, IBM MQ, Event Streams, DataPower Gateway, Aspera, or other eligible capabilities.
What do you dislike about the product?
Cloud Pak for Integration is designed for enterprise-scale environments, and that comes with complexity. Installing and operating the platform requires solid knowledge of Red Hat OpenShift, Kubernetes, storage, networking, certificates, and the individual integration capabilities.
The platform is also resource-intensive. For development or proof-of-concept environments, the infrastructure requirements can be significant, although this is understandable given the number of enterprise services that are included.
While IBM's documentation is comprehensive, it can sometimes be difficult to find practical end-to-end deployment examples, especially for GitOps, automation, disaster recovery, and upgrade scenarios. More production-focused examples would help organizations adopt the platform more quickly.
The platform is also resource-intensive. For development or proof-of-concept environments, the infrastructure requirements can be significant, although this is understandable given the number of enterprise services that are included.
While IBM's documentation is comprehensive, it can sometimes be difficult to find practical end-to-end deployment examples, especially for GitOps, automation, disaster recovery, and upgrade scenarios. More production-focused examples would help organizations adopt the platform more quickly.
What problems is the product solving and how is that benefiting you?
Cloud Pak for Integration enables us to standardize enterprise integration on a single platform. Instead of managing separate products with different deployment models and operational processes, we have one consistent platform for API management, application integration, messaging, event streaming, security, and file transfer.
Igor Khalitov
Manages APIs and integrates microservices with redirection feature
Reviewed on Jul 30, 2024
Review provided by PeerSpot
What is our primary use case?
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 thousands of APIs, providing tools for building, managing, and securing them effectively.
What is most valuable?
Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access. With Monalytics, microservices are separated, and redirection ensures they are efficiently managed, including load balancing and recovery.
What needs improvement?
Enterprise bots are needed to balance products like Kafka and Confluent.
For how long have I used the solution?
I have been using IBM Cloud Pak for Integration for two years.
Which solution did I use previously and why did I switch?
Spring Framework is known for its simplicity and ease of use. For instance, IBM Cloud Pak for Integration leverages Spring Boot and Spring Cloud technologies. It also features its own API tools, which are straightforward to use. IBM also works extensively with various services and traditional architectures, continuously evolving to manage complexity over time.
How was the initial setup?
The initial setup is straightforward. Two people are required for it.
What's my experience with pricing, setup cost, and licensing?
IBM is already priced.
I rate the product’s pricing an eight out of ten, where one is cheap, and ten is expensive.
What other advice do I have?
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.
Bharat L.
Review for IBM cloud PAK: befitting tool
Reviewed on Jun 09, 2024
Review provided by G2
What do you like best about the product?
I like the most about their API management. They are best in class used and known for their integrations. Another best thing is the ease of UI and its operation
What do you dislike about the product?
I think they need to provide a good examples and steps to setup with the help of video tour and I think documentation should be a little easy
What problems is the product solving and how is that benefiting you?
Me and my team are depended on APIs alot and their management is my neccesity. I believe IBMs API management is a lot of help with their great tool
Akash S.
High-performance data transport, enhanced data autonomy
Reviewed on Jan 27, 2024
Review provided by G2
What do you like best about the product?
Simplify hybrid data chaos,Complete fabric solution, instant on-prem & cloud agility.
easy for begineers also
easy for begineers also
What do you dislike about the product?
When using third-party services, users often cede some degree of control over their data, privacy, and security.
What problems is the product solving and how is that benefiting you?
main use is deploymentto minimize deployment time and secure and optimize.
Automotive
IBM pak tool for data analysis
Reviewed on Jan 24, 2024
Review provided by G2
What do you like best about the product?
IBM PAK tool helps in the complex use cases for data analysis across IBM cloud.
What do you dislike about the product?
It should include multi cloud strategies and provide quite easy integrations with third party tools
What problems is the product solving and how is that benefiting you?
IBM Cloud Pak helped with the data integration, Data observanility with complete help on Modern Data architecture. The data governance helped to skip the extra additional cost of colibra integration and everything was managed with a single tool