Solace and Kafka Working Together

You don’t replace Kafka with Solace — you extend it.

Kafka stays your event store and analytics engine. Solace becomes the real-time nervous system around it — routing business events across your enterprise. Kafka keeps data useful; Solace keeps the business moving.

Apache Kafka streams high-volume data to storage and analytics systems.
Kafka’s distributed log architecture is built for high throughput, long retention, and replay — perfect for collecting and analyzing massive streams of events. It feeds data platforms and ML pipelines that need history and scale so consumers can decide how and when to process information.

Solace routes business events between apps and AI agents in real-time.
Solace ensures operational events reach the right enterprise applications and AI agents in milliseconds, with filtering, security, and guaranteed delivery across clouds, regions, and networks. It’s optimized for agentic AI, microservices, transactions, and mission-critical workflows that depend on up to date context and immediate action.

Real-Time Data Across Hybrid and Multi-Cloud Environments

Connect a Kafka event stream to a Solace event broker natively or using external connectors to route a filtered set of information to a cloud analytics engine. Solace keeps bandwidth and consumption low by using fine-grained filtering to deliver exactly and only the events required.

Ingest High-Volume Data From All Kinds of Apps and Devices into Kafka

Solace supports MQTT connectivity at massive scale, enabling reliable, secure and real-time communications with tens of millions of devices or vehicles so you can stream data to Kafka for aggregation or analytics. And Solace supports a variety of popular and open standard protocols and APIs, so you can stream events to Kafka from all your applications, running in all kinds of cloud and on-premises environments.

Streaming Kafka Events to Connected Devices/Vehicles

In addition to supporting the inbound aggregation of events from millions of connected devices, Solace supports bi-directional messaging and the unique addressing of millions of devices through fine-grained filtering. For example, with Solace and Kafka working together you could send a tornado warning alert to a specific vehicle, or all vehicles in or approaching the affected area.

Running real-time analytics across the hybrid cloud

Want to ingest high volume web and mobile device data to Kafka for aggregation and analytics

Integrated Kafka Bridge

A broker-integrated Kafka bridge that lets you consume topic records from Kafka and publish them to Solace, consume Solace messages and publish them to Apache Kafka topics, and interconnect Kafka Clusters via Solace to create a WAN-optimized, order-retaining “Kafka Mesh.”

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Kafka Proxy

High-performance proxy that allows Kafka clients to publish and subscribe to Solace Event Broker without any changes to the Kafka client application. The proxy speaks the native Kafka wireline protocol to Kafka client applications and the Solace SMF protocol to the Solace Event Broker.

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Micro-Integrations

Micro-integrations make it easy to connect your existing Kafka estate — whether it’s built with open source, Aiven, Amazon MSK, Azure, Confluent, RedHat or some other implementation — to an event mesh built with Solace Platform.

Solace with Apache Kafka?