Snowplow Data Pipeline is a cloud-based platform designed to collect, validate, enrich, and deliver real-time, granular behavioral event data from digital platforms. It supports tracking across web, mobile, server, IoT, and third-party sources, providing a unified, structured event table for downstream analytics, AI, and operational use cases. The platform is highly scalable, supports persistent device tracking, and enables direct access to raw event data, with flexible deployment options (SaaS, BYOC, or self-hosted). Snowplow is built for organizations needing reliable, high-quality data for customer analytics, personalization, and machine learning applications.

Key Features

Real-time Event Collection and Tracking Collects granular behavioral data from web, mobile, server, and IoT devices.

• 35+ first-party trackers and webhooks
• Persistent device tracking for up to two years

Data Validation and Enrichment Validates and enriches event data against custom schemas.

• Cleanses data and ensures schema compliance
• Supports custom and out-of-the-box enrichments

Unified Event Table Unifies and transforms events into a single structured table.

• Avoids complex joins
• Simplifies scaling and analytics

Real-time Data Loading and Activation Delivers enriched data to warehouses, lakes, and streams in real time.

• Supports Snowflake, Databricks, BigQuery, S3, Kafka, Kinesis, Pub/Sub
• Real-time activation for downstream SaaS tools

Scalability and Reliability Handles billions of events per day with high uptime.

• 99.99% uptime
• Designed for bursty traffic and enterprise workloads

Direct Raw Data Access Provides atomic-level access to raw event data.

• No third-party intermediaries or aggregated-only interfaces

Flexible Deployment Options Available as managed SaaS, BYOC/private SaaS, or self-hosted.

• Snowplow BDP Cloud, BDP Enterprise, Community Edition

Benefits

High-Quality, Reliable Data for Analytics and AI Ensures data integrity and readiness for advanced analytics and machine learning.

• Schema validation and enrichment improve data quality
• Real-time availability supports immediate insights and actions

Extreme Scalability and Performance Supports organizations of any size, from startups to enterprises.

• Handles trillions of events monthly
• Maintains low latency even during peak traffic

Customizable and Extensible Adapts to unique business data needs and analytics requirements.

• Define custom events and entities
• Integrate with any analytics or operational system

Non-lossy, Transparent Pipeline Failed events are retained for reprocessing, ensuring no data loss.

• Direct access to raw and enriched events
• Separation of tracking and analysis for flexibility