Integrate your data stack with Snowplow.

Snowplow processes every event in-stream before it reaches any destination — appending geolocation, device intelligence, campaign attribution, and privacy-compliant identity resolution in real time. IP-to-location enrichment uses MaxMind GeoIP databases to append city, region, country, and ISP data to every event. Combined with bot detection enrichment, this ensures your behavioral analytics are based on genuine human interactions — not crawler traffic or automated scripts.

PII pseudonymization enrichment automatically detects and hashes personally identifiable information at the collection layer, giving teams a compliant pathway to GDPR, CCPA, and HIPAA-aligned data collection without sacrificing analytical depth.Custom enrichment APIs allow data engineering teams to build proprietary enrichment logic — joining real-time behavioral events against internal customer databases, product catalogs, or ML model outputs — creating a uniquely rich, owned data asset before forwarding to any downstream tool. This means data arriving at Snowflake, Braze, and a custom ML pipeline from the same Snowplow pipeline is guaranteed to be consistent and fully enriched.

Snowplow's real-time event stream is purpose-built for ML feature engineering and agentic AI observability — delivering schema-validated behavioral signals to your models and pipelines with sub-second latency. High-fidelity, schema-validated events arrive in real time, giving data science teams a reliable foundation for propensity models, recommendation engines, churn prediction, and fraud detection — without the data quality issues that plague analytics-grade event streams. Real-time feature store integrations allow ML teams to consume Snowplow events as features for online inference, enabling personalization and intervention models to operate on the freshest possible behavioral signals rather than stale batch-computed features.

As AI agents become a significant portion of web traffic — often 20–50% on technical properties — Snowplow's agentic browsing integrations capture the behavioral signals of non-human visitors alongside human ones. LLM observability integrations instrument AI-powered product features, capturing prompt-completion pairs, latency, user feedback, and downstream behavioral outcomes in the same event schema as the rest of your behavioral data.

Load real-time Snowplow event data directly into your cloud data warehouse, lakehouse, or streaming platform — with platform-optimized connectors for Snowflake, BigQuery, Redshift, Databricks, Kafka, and more. Snowplow's warehouse loaders use native platform APIs — Snowpipe Streaming for Snowflake, BigQuery Storage Write API for BigQuery, Copy Into for Redshift — to deliver event-level behavioral data with near-real-time latency and minimal cost overhead.

Unlike SaaS analytics tools that lock your data in proprietary systems, Snowplow lands structured, schema-validated events in tables you own and control, queryable with standard SQL across any BI or data science toolchain. For teams building on streaming infrastructure, Snowplow's Kafka, Kinesis, and Pub/Sub destination connectors forward validated events into your streaming platform of choice — enabling sub-second delivery to custom consumers, Flink and Spark Streaming jobs, real-time ML feature pipelines, and any downstream system that consumes from a message queue. S3, GCS, and Azure Blob Storage destinations provide cost-efficient landing zones for high-volume event archival alongside real-time loading.

Forward real-time behavioral data to your marketing, analytics, advertising, and CRM tools — and to any platform not listed here. If it can receive data, Snowplow can send to it. Snowplow's activation connectors forward pre-validated, enriched, deduplicated events to the tools your teams already operate in — so your segmentation in your marketing platform, your funnels in your analytics tool, and your conversion events in your ad platforms are all working from the same ground truth.

Unlike sending raw client-side events to each tool separately, a single Snowplow pipeline feeds all of them simultaneously with consistent, high-quality data.Webhook forwarding extends this to any tool with an HTTP API — making the activation catalog effectively unlimited. If you use a platform that isn't listed, request a connector and we'll build it, or use our webhook destination to start forwarding in minutes without any custom engineering.