Kafkorama turns Apache Kafka® topics into WebSocket-based pub/sub streaming APIs that real-time web and mobile apps, IoT devices, and AI agents can use without speaking the Kafka protocol. Scales vertically to one million clients per node and horizontally to millions of connected clients. Runs in your cloud, VPC, or on-premises.
Kafkorama is built on MigratoryData, our real-time data technology, proven in production for 15+ years and serving 100M+ users monthly.
Monthly users
served with real-time data
Years in production
delivering real-time data at scale
Turn Kafka streams into discoverable, pub/sub APIs — easily accessible through SDKs for the most popular platforms. Empower your teams, partners, and external developers to build real-time web, mobile, and IoT apps. Secure by design, with industry-standard JWT-based access control.
Benchmarked to stream real-time data to 10 million clients from a single node, Kafkorama Gateway offers unmatched vertical scalability. When deployed as a highly available cluster, its nodes operate independently and scale horizontally in a linear fashion — just add more nodes to serve more clients.
Run in the cloud or on-prem — on bare metal, VMs, or with Kubernetes/Terraform automation. Connect natively to any Apache Kafka® — Event Hubs, MSK, Confluent — without Kafka Connect or any changes to your Kafka setup.
REST and Streaming APIs may share endpoints and verbs (GET/POST vs.
SUBSCRIBE/PUBLISH), but their communication models differ. REST APIs use
a synchronous request-reply model, while Streaming APIs use an asynchronous pub/sub model. For
example, a sports app can deliver live scores via the endpoint /sports/scores/match using
either model.
Over a 90-minute match, each REST user makes around 180 API calls — compared to a single connection with a Streaming API. At scale — 1M users — that's 180 million REST API calls vs. just 1 million Streaming API connections. Less load, lower cost — especially with a Streaming API Management solution built to scale to millions.
REST updates can arrive with up to 30s delay due to polling intervals. Streaming APIs deliver updates in milliseconds via a persistent WebSocket connection — providing a truly real-time experience.
Just like REST APIs, Apache Kafka® topics can be abstracted and documented as streaming APIs. Kafkorama requires no configuration to map API endpoints to Kafka topics — each streaming API endpoint corresponds directly to a Kafka topic and (optionally) a Kafka key. Kafkorama Portal lets developers document these APIs using the AsyncAPI standard, providing consistent, shareable documentation. Developers can also generate JWT-based access keys and use the built-in console to interact with streaming APIs in real time.
Internal teams, partners, and external developers can browse, adopt, test, and use streaming APIs via the Kafkorama Portal — enabling faster prototyping and real-time app development, just like with REST developer portals.
The Kafkorama Gateway streams real-time APIs between Apache Kafka® and millions of clients — over WebSocket connections backed by a highly scalable, horizontally and vertically optimized engine. It supports real-time, bidirectional communication, enabling both data delivery from Kafka and event ingestion back to Kafka. Like a REST API gateway, it acts as the runtime layer — but purpose-built for real-time delivery at scale.
Kafkorama Portal transforms Kafka streams into Streaming APIs — using a minimalistic approach to API management through a lightweight portal. Define APIs using Kafka topics and keys, document them with AsyncAPI, secure them with JWT-based access keys, then discover, test, and generate integration code for web, mobile, or IoT in your preferred language.
We can show that a single instance of Kafkorama running on a single server can stream 1 Gbps of real-time data to 10 million concurrent clients — with under 100 milliseconds latency. But what really matters is how it performs in your environment, with your workloads. Start your no-risk evaluation and see how easily Kafkorama scales in your own environment.
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