Put events to work with Apache Kafka for Enterprise
IBM Event Streams is an event streaming platform built on open source Apache Kafka®. It is available both as a fully managed service on IBM Cloud or on-premise as part of Event Automation or as part of CP4I.
To deliver more engaging customer experiences, you need to accelerate your event-driven efforts so that you can act in real-time. With IBM® Event Streams, you can leverage enterprise-grade event streaming capabilities to build smart apps to help react to events as they happen. Based on years of operational expertise gained from running Apache Kafka® for enterprises, IBM Event Streams is ideal for mission-critical workloads.
Use events to move from batch processing to real-time and predictive analytics using Event Streams for IBM Cloud.
Get support around the clock from our team of Kafka experts. Event Streams for IBM Cloud is a fully managed Apache Kafka service, ensuring durability and high availability.
Gain shared access to a multi-tenant cluster that seamlessly autoscales as you increase the number of partitions for your workload using the Standard plan. Alternatively, use the Enterprise plan’s scaling options to customize throughput, storage capacity, or both.
Data is encrypted at rest and in motion. IBM Event Streams offers integration IBM® Key Protect provides and IBM Cloud Hyper Protect Crypto Services services. You can also restrict your network access with context based restrictions and private networking.
Both the Standard and Enterprise plans of IBM Event Streams are HIPAA-ready and compliant with PCI-DSS, SOC 2 Type 2, ISO 27001, ISO 27017, ISMAP, C5 and GDPR. The Enterprise plan includes managed security and compliance and is IBM Financial Services Validated.
The Standard and Enterprise plans provide a highly available architecture using multi-zone region deployment and an availability of 99.99%. Use Apache Mirror Maker 2 to increase availability and keep applications working in a major incident that affects a full region.
Ensures business continuity and uptime, especially for mission‑critical workloads.
Reduces operational overhead and speeds time-to-value.
Move data closer to applications by streaming change events from back-end systems, enabling fast, responsive customer experiences. Each application can build its own view without adding load to core systems, and event streams can be replicated across cloud environments for low-latency access anywhere.
Connect diverse data sources to a data lake, enabling real-time processing of clickstreams, transactions, and more. Stream processing apps can spot patterns instantly, helping businesses respond faster and refine decisions.
Trained machine learning models can consume real-time event streams to predict future outcomes. These predictions drive proactive actions, transforming data into new business opportunities.