Does Snowplow integrate with Databricks for AI‑ready data analytics?

Yes. Snowplow streams raw and enriched behavioral data into Databricks via structured, real-time pipelines, enabling Spark-based processing, ML model training, and advanced AI workloads. 

The integration supports both streaming and batch processing modes, allowing teams to leverage Databricks' lakehouse architecture for cost-effective storage and compute. 

Snowplow's governed, event-level data provides the high-quality foundation needed for feature engineering, model training, and AI application development within the Databricks environment. 

The infrastructure’s dbt integration enables transformation workflows that prepare Snowplow data for Databricks AI/BI tools and machine learning pipelines.

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Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.