IBM Event Streams
IBM Event Streams is a fully managed event streaming platform built on Apache Kafka, designed to help enterprises process and respond to real-time data streams. With capabilities for machine learning integration, high availability, and secure cloud deployment, it enables organizations to create intelligent applications that react to events as they happen. The platform supports multi-cloud environments, disaster recovery, and geo-replication, making it ideal for mission-critical workloads. IBM Event Streams simplifies building and scaling real-time, event-driven solutions, ensuring data is processed quickly and efficiently.
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Gravitee
Gravitee is an AI agent management and API management platform designed to secure, observe, and govern interactions between AI agents, models, APIs, event streams, and enterprise services. Its AI Gateway provides centralized control for LLM traffic, MCP tool access, and agent-to-agent communication through LLM Proxy, MCP Proxy, and A2A Proxy capabilities. The platform can enforce authentication, authorization, least-privilege access, PII redaction, rate limits, spending controls, and audit logging across AI traffic. Gravitee also provides visibility into agent behavior, token consumption, dependencies, costs, and usage patterns so organizations can identify shadow AI and unmonitored workloads. Beyond AI governance, the platform manages APIs and event streams, including REST, GraphQL, gRPC, Kafka, and related enterprise integration patterns. Gravitee is designed for organizations that want a unified control layer for AI agents, APIs, events, and model access.
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Apache Kafka
Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.
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Amazon EventBridge
Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. EventBridge delivers a stream of real-time data from event sources, such as Zendesk, Datadog, or Pagerduty, and routes that data to targets like AWS Lambda. You can set up routing rules to determine where to send your data to build application architectures that react in real time to all of your data sources.
EventBridge makes it easy to build event-driven applications because it takes care of event ingestion and delivery, security, authorization, and error handling for you. As your applications become more interconnected through events, you need to spend more effort to find events and understand their structure in order to write code to react to those events.
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