Loading Data

Amazon Kinesis

Stream OpenSnowcat event data into Amazon Kinesis.

The fastest and most reliable way to stream high-volume, schema-validated behavioral data into AWS services using Amazon Kinesis.

Built for real-time delivery, the SnowcatCloud Loader processes event data with low latency and high resilience — designed to recover gracefully from failures without data loss. Events are validated against schemas, enriched, and pushed downstream in seconds.

Optimized for uptime and performance, it's the backbone for building real-time behavioral data pipelines on AWS — without managing ingestion logic or infrastructure.

Features

  • Real-Time Streaming
    Stream enriched behavioral data to your applications in real time with minimal latency.
  • Flexible Output Format
    Choose between Snowplow’s standard TSV or flattened enriched JSON formats for downstream compatibility.
  • Batch Control
    Configure efficient flush intervals to balance throughput and delivery guarantees.
  • Reliable Error Handling
    Automatic retries and intelligent failure recovery ensure no data is lost.
  • Native Monitoring
    Fully integrated with CloudWatch Metrics and Logs for observability and alerting.

Loader Configuration

Define how and where data is streamed using a simple, declarative configuration block:

output {
  service: "kinesis", 
  stream: "enriched-good-stream",
  format: "TSV"
},