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Snowplow

Behavioral data platform for real-time event collection and analytics.

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Snowplow is a behavioral data platform that collects and processes event-level data in real time, delivering validated, enriched events to a data warehouse, lake, or stream. It is designed to give teams customer context for advanced analytics and AI agents without requiring them to build and maintain the underlying data infrastructure themselves.

The platform includes modules for event tracking, data pipeline, event studio, identities, event forwarding, profiles, real-time triggers, and modeling and analytics, including digital and ecommerce analytics. It offers agentic AI capabilities such as agentic context, intent detection, and proactive decisioning, with integrations for LangChain, AWS Bedrock, Vertex AI, Vercel AI SDK, CopilotKit, Databricks, and AWS SageMaker. Sources include JavaScript, Android, iOS, and Node.js, while destinations include Databricks, Snowflake, Google BigQuery, Amazon S3, Delta Lake, Kafka, and ClickHouse. Snowplow also supports self-hosted pipelines and offers solution accelerators.

Snowplow is aimed at data engineering, software engineering, product analytics, data science, marketing, and technology teams, with use cases spanning advanced analytics, real-time personalization, and context-aware AI agents. The pages reference a free start option, a self-hosted pipeline, and deployment options, though specific pricing details are not provided.

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