Snowplow

Snowplow is a behavioral data platform that enables organizations to capture, model, and operationalize granular event data from every digital touchpoint. It provides a unified, real-time view of customer and agent interactions across web, mobile, server-side, and AI-driven interfaces. The primary purpose of Snowplow is to generate high-quality, analytics-ready data that can be trusted for decision-making, personalization, and machine learning workloads.

The platform offers flexible, schema-driven event tracking that lets teams define and evolve rich data structures without losing consistency over time. It supports real-time streaming pipelines, delivering data into modern data warehouses and lakes such as Snowflake, BigQuery, Redshift, and Databricks, with strong guarantees around data quality, validation, and observability. Snowplow distinguishes between human and AI interactions, enabling teams to analyze how users and automated agents behave across journeys. Built-in tools for data governance, PII handling, and consent management help ensure compliance and maintain control over event-level data.