Overview

Product video
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.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
CP4I VPC | Entitlements for Cloud Pak for Integration VPCs | $13,158.00 |
Vendor refund policy
Refunds only available through agreement of IBM
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
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.
Similar products

Customer reviews
Unified, Cloud-Native Integration Platform on OpenShift That Simplifies Architecture
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.
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.
Manages APIs and integrates microservices with redirection feature
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.
Review for IBM cloud PAK: befitting tool
High-performance data transport, enhanced data autonomy
easy for begineers also