A modern behavioral data pipeline must deliver real-time processing, governance, scalability, and AI-readiness to support advanced analytics and personalization use cases.

Essential features include:

• Real-time processing: Data must be collected, validated, enriched, and delivered to warehouses, lakes, or streams in real time rather than batched daily.
• Data quality controls: Built-in schema validation, failed event recovery, and automated monitoring to catch issues before they impact production.
• Data governance: Clear data ownership, auditability, version control, and compliance tracking (GDPR, CCPA, HIPAA) throughout the entire lifecycle.
• Scalability: Cloud-native architecture that handles billions of events daily without performance degradation.
• Flexibility: Support for custom events, entities, and schemas tailored to unique business requirements.
• AI-readiness: Data delivered in formats optimized for machine learning feature engineering and model training.

With Snowplow, organizations get a fully-managed behavioral data pipeline that processes over 1 trillion events monthly across 2M+ websites and apps. Snowplow delivers data to your warehouse, lake, or stream in real time with 35+ first-party trackers, 15+ enrichments, and comprehensive data quality tooling, giving data teams the control and transparency they need.