Snowplow & Databricks: The Customer Context Layer for the Lakehouse

Most behavioral data is stale, sampled, and full of bots. Snowplow delivers validated, real-time first-party data into Databricks so your teams can personalize, analyze, and act right now.

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Why Snowplow and Databricks

AI Agent Context

Equip lakehouse agents with real-time customer intelligence. Snowplow Signals feeds Agent Bricks & Lakebase with live behavioral context that’s seconds old, not days.

Gold Table Readiness for AI

Turn raw events into governed, AI-ready Gold Tables. Predict intent and hyper personalize customer experiences with Snowplow’s real-time first-party data feeding Agent Bricks & Genie.

Real-Time Streaming

Stream behavioral events into Delta Lake in milliseconds with Snowplow’s Lake Loader, built for Databricks Lakeflow. Power session personalization & agentic decisioning instantly.

Privacy & Centralized Governance

Govern customer data across the full lifecycle. For end-to-end lineage and access control from event capture through agent inference with Snowplow’s privacy-first collection andDatabricks Unity Catalog.

What Teams Can Do With Snowplow & Databricks

AI Agent Context

Build agents that know your customers. Snowplow Profiles and Real-Time Triggers feed Agent Bricks and Lakebase with both historical context and live in-session behavior, unlocking Customer RAG and proactive AI assistance.

Real-Time Personalization

Reach customers while they’re still engaged. Snowplow activates behavioral data the moment it lands, so your team can trigger personalized experiences, offers, and journeys in-session instead of after the opportunity has passed.

Agentic Analytics

Self-serve insights in seconds whether you’re a product manager, marketer, or analyst. Snowplow’s structured behavioral data and pre-built Metric Views give Databricks AI/BI Genie a governed semantic layer, so answers to plain English questions are grounded in definitions you’ve validated.

AI for Marketing

Measure what's actually working. Snowplow ties every interaction to a persistent identity across sessions, channels, and devices, then models it directly in the Lakehouse. Your AI models know when to personalize at the moment of intent, build high-fidelity audiences, and attribute revenue accurately, all governed in Unity Catalog.

Data Quality & AI Traffic Detection

Know your traffic. Snowplow classifies and filters agent traffic before it reaches the Lakehouse, separating AI crawlers from human visitors. Query with confidence, flag anomalies, and monitor data quality knowing with complete confidence.

Lakehouse Propensity Scoring

Personalize remarketing campaigns with ML-based propensity scoring in Databricks

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How does it work?

“We have experienced first-hand the benefit of using Snowplow and Databricks in our broader tech stack. With this integration, Lakehouse will now become the single platform for analytics and Snowplow’s Databricks loader will enable us to achieve it with minimal effort. It paves the way and reduces the friction in leveraging customers’ behavioral data for ML/AI use cases in the future.”