Every Pulse application runs on StreamFlow — from a single laptop to a multi-region cluster.
StreamFlow is the distributed event engine that powers Pulse applications in production.
To build intelligent, real-time systems today, you need to combine multiple tools:
It works. But it's fragmented, hard to maintain, and difficult to scale.
The distributed data plane for Pulse.
StreamFlow is the distributed event engine underneath every Pulse application:
Events & Topics
State & Replay
Replication & Failover
Kafka Compatibility
Pulse builds the application. StreamFlow makes it run at scale.
High-throughput event mesh
Shard-per-core execution
Elastic partition rebalancing
Durable state with replay from any offset
Raft-based replication & instant failover
Multi-region geo-replication
Observability: metrics, tracing, health
Native Apache Kafka protocol compatibility
Source & sink connectors
Every application in the StreamFlow ecosystem runs on the same distributed event engine.
Measured on the same hardware, with the official Kafka tools, against Apache Kafka and Redpanda. No mocks.
StreamFlow combines:
Real-time coordination of global logistics and operations
Continuous monitoring and self-healing systems
Real-time decision-making at scale
Autonomous infrastructure management
Threat detection and automated incident response in real time
Intelligent coordination of urban systems and IoT networks
Same runtime, same code. What changes is what you have to guarantee to other people.
Systems that process data
Systems that continuously think and act on events
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