Snowplow — Open-Source Behavioral Data Platform

Introduction

Snowplow is an open-source behavioral data platform that collects granular, event-level data from websites, mobile apps, and server-side systems. Unlike tag-based analytics tools, Snowplow gives you full ownership of your raw data, delivering it directly into your data warehouse for analysis with your existing BI and data science stack.

What Snowplow Does

• Collects event-level behavioral data from web, mobile, and server-side trackers
• Validates events against schemas to ensure data quality at collection time
• Enriches events with geolocation, referrer parsing, campaign attribution, and custom logic
• Loads validated data into warehouses like Snowflake, BigQuery, Redshift, or Databricks
• Supports custom event schemas for domain-specific tracking beyond pageviews and clicks

Architecture Overview

Snowplow uses a pipeline architecture: trackers send events to a collector endpoint, which writes raw events to a stream (Kinesis, PubSub, or Kafka). An enrichment process validates events against Iglu schema registries, applies configurable enrichments, and outputs structured data. A loader then writes the enriched events into the target data warehouse in a well-defined table schema.

Self-Hosting & Configuration

• Deploy the collector, enrichment, and loader components via Docker or cloud-native services
• Use Snowplow Micro (single Docker container) for local development and testing
• Define custom event schemas in an Iglu schema registry for type-safe data collection
• Configure enrichments (IP lookup, UA parsing, campaign attribution) via JSON files
• Supported warehouse targets include Snowflake, BigQuery, Redshift, Databricks, and PostgreSQL

Key Features

• Schema-driven data collection validates every event before it enters the pipeline
• First-party data collection keeps all behavioral data in your own infrastructure
• 20+ configurable enrichments add context without additional tracking code
• Trackers available for JavaScript, iOS, Android, Python, Go, Java, and more
• Real-time and batch loading modes for different latency requirements

Comparison with Similar Tools

• Google Analytics — Aggregated metrics in a SaaS dashboard; Snowplow delivers raw event data to your warehouse
• Segment — SaaS data router; Snowplow is self-hosted with schema validation and enrichment
• RudderStack — Open-source CDP; Snowplow focuses on behavioral data with richer schema validation
• Matomo — Self-hosted web analytics; Snowplow provides a data pipeline, not a pre-built dashboard
• PostHog — Product analytics with built-in UI; Snowplow is a data infrastructure layer for warehouse-first teams

FAQ

Q: Where does Snowplow store collected data? A: Snowplow loads data into your data warehouse (Snowflake, BigQuery, Redshift, Databricks, or PostgreSQL). You own and control all data.

Q: Can I define custom events beyond pageviews? A: Yes. Snowplow uses JSON schemas in an Iglu registry to define custom event types and entities with full validation.

Q: Is Snowplow suitable for high-traffic sites? A: Yes. Snowplow pipelines built on Kinesis, PubSub, or Kafka handle billions of events per day.

Q: How does Snowplow compare to a CDP? A: Snowplow focuses on behavioral data collection and delivery to your warehouse. CDPs typically add audience building and activation on top.

Sources

• https://github.com/snowplow/snowplow
• https://docs.snowplow.io/