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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WarpStream
WarpStream is an Apache Kafka-compatible data streaming platform built directly on top of object storage, with no inter-AZ networking costs, no disks to manage, and infinitely scalable, all within your VPC. WarpStream is deployed as a stateless and auto-scaling agent binary in your VPC with no local disks to manage. Agents stream data directly to and from object storage with no buffering on local disks and no data tiering. Create new “virtual clusters” in our control plane instantly. Support different environments, teams, or projects without managing any dedicated infrastructure. WarpStream is protocol compatible with Apache Kafka, so you can keep using all your favorite tools and software. No need to rewrite your application or use a proprietary SDK. Just change the URL in your favorite Kafka client library and start streaming. Never again have to choose between reliability and your budget.
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Apache Kafka
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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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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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