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Event Streams
Leverage our fully managed Kafka service to help you build intelligent applications that react to events in real time.
- IBM
- Date of last update:11/15/2024
- Docs
![Event Streams](https://cache.globalcatalog.cloud.ibm.com/api/v1/6a7f4e38-f218-48ef-9dd2-df408747568e/artifacts/cache/dfc1f17ab9769b55c43705c22a092a63-public/es_appIcon_light_64.png)
Platform
Select a pricing plan
Plan | Feature | Price | |
---|---|---|---|
Lite |
| Free | Selected Plan |
The Lite plan offers access to a single partition in a multi-tenant Event Streams cluster. Stream landing is not supported on the Lite plan. Lite plan services are deleted after 30 days of inactivity. | |||
Standard |
EU Supported |
| |
Enterprise |
EU Supported HIPAA Enabled Financial Services Validated |
|
Summary
Summary
Event Streams on IBM Cloud is a fully managed, high-throughput message bus built on Apache Kafka that enables applications and services to communicate. It is optimized for event ingestion into IBM Cloud and event distribution between your services and applications. Event Streams on IBM Cloud allows you to deploy production ready Apache Kafka and build cloud native apps in a secure and highly available environment.
Features
Fully managed Apache Kafka service
Event Streams is a fully managed service built with the open source Apache Kafka project. It supports all of the Kafka APIs, including Kafka Streams and Kafka Connect.
Event-driven architecture
Integrations with services such as the Watson IoT Platform, IBM Streaming Analytics and IBM Cloud Functions make it easy to leverage Event Streams as the critical component of your event-driven architecture.
Highly available and resilient
Event Streams leverages the availability zone support from the IBM Kubernetes Service to ensure that in the unlikely event of an entire zone being unavailable, your applications will continue to work uninterruptedly.
Intuitive user experience
Event Streams benefits from IBM Design Thinking to ensure that you are able to understand core Apache Kafka concepts and to deploy your first Event Streams application in minutes, not hours.
Example Event Streams Management Interface