Snowplow

Snowplow is a real-time context layer designed to help teams capture, govern, and stream digital user interactions into warehouses, data lakes, or data streams. The platform allows product and data teams to define and track custom events using flexible and validated schemas, bypassing traditional vendor lock-in and black-box modeling. Snowplow streams enriched behavioral data and user attributes in real time, supporting use cases ranging from advanced digital analytics to equipping AI agents and copilots with customer context.

The platform emphasizes transparency and data quality, helping organizations maintain control over their data within their own infrastructure while ensuring compliance with privacy requirements. Key capabilities include the ability to distinguish AI agent behavior from human visitors, real-time data streaming that reduces latency, built-in data governance across the lifecycle, and error identification and resolution tools. Snowplow integrates with various AI and cloud data platforms such as LangChain, Amazon Bedrock, Google Vertex AI, and Vercel, making it suitable for data engineers, product analysts, and enterprise data teams looking to build customized analytics, personalisation, or AI-driven systems without relying on rigid off-the-shelf third-party tools.