# Snowplow — Open-Source Behavioral Data Platform

> Event-level data collection platform that captures rich behavioral data from web, mobile, and server-side sources into your data warehouse.

## Install

Save as a script file and run:

# Snowplow — Open-Source Behavioral Data Platform

## Quick Use
```bash
# Quick start with Docker Compose (Snowplow Micro for development)
docker run -p 9090:9090 snowplow/snowplow-micro:latest
# Send a test event
curl http://localhost:9090/i?e=pv&url=https://example.com&p=web
# View collected events
curl http://localhost:9090/micro/all
```

## 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/

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Source: https://tokrepo.com/en/workflows/asset-2c4ae706
Author: Script Depot