Documentation
Forwarding Events to Downstream Destinations
Build Real-time Workflows with Customer Data
Trigger downstream actions instantly with enriched, low-latency behavioral data—delivered in real time from your Snowplow pipeline to any system.
Low-Latency Delivery
Stream events in real time to internal systems or external platforms, empowering teams to take action as customer behaviors unfold.
Enterprise-Grade Flexibility
Support multiple protocols and destinations—Pub/Sub, Kinesis, Kafka, SQS, and HTTP—with schema-controlled, enriched event payloads.
End-to-End Data Integrity
Forward only validated, enriched events—no raw or partial data—preserving data quality and trust across real-time workflows.
Power Real-Time Workflows
Snowplow’s Event Forwarding allows teams to act on behavioral data the moment it’s generated—whether for customer engagement, fraud detection, or in-product automation. Events are enriched upstream and delivered to any real-time messaging system for use in both internal tools and third-party platforms.
Power user journeys and personalization in real time
Detect risky behaviors and trigger alerts instantly
Enable event-driven product features with low latency
Seamless Integration with your Stack
Event Forwarding supports popular streaming protocols and systems out-of-the-box. Whether routing enriched events to Google Pub/Sub, Amazon Kinesis, Kafka, or your internal microservices, Snowplow provides consistent, schema-validated payloads that eliminate the need for downstream cleansing or transformation.
Plug into any queue or stream with full control
Deliver enriched, ready-to-use JSON events
Reduce engineering effort with pre-modeled payloads
Replace Rigid Legacy CDP Pipelines
Unlike legacy CDPs, Snowplow decouples data collection, enrichment, and delivery—ensuring clean, trustworthy behavioral data gets to your tools in real time. Migrate away from sync delays, bloated event schemas, and black-box transformations.
Route into existing event-driven architectures
Full transparency and control over schema and payload
Built for composable architectures, not monolithic SaaS
