Snowplow and Microsoft Azure
Easily ingest, process, analyze and operationalize real-time event data with Snowplow and Microsoft Azure’s scalable cloud services.
.webp)
Develop Intelligent Applications in the Cloud
with Rich Customer Behavioral Data
Snowplow integrates seamlessly with Microsoft Azure, enabling businesses to capture, process, and store first-party behavioral data with full control. By leveraging Azure’s 200+ products and services, teams can build powerful data applications, analyze real-time user interactions and feed AI/ML models with high-quality event data—helping teams operationalize their customer data with confidence.
End-to-End Data Lifecycle Management
Snowplow on Azure provides a powerful behavioral data infrastructure that allows organizations to collect, enrich, and activate first-party data across the full analytics and AI lifecycle. With seamless integration into Microsoft Fabric, Azure Data Lake Storage, and Azure Synapse Analytics, teams can stream high-quality, structured event data into their analytics and operational workflows—enabling timely insights across marketing, product, and customer experience initiatives.
Cost-Effective Scalability
Built to scale with your Azure environment, Snowplow enables cost-efficient data operations by leveraging services like OneLake for unified storage and Azure Functions or Azure Kubernetes Service (AKS) for flexible deployment. This modular architecture promotes interoperability with the broader Microsoft ecosystem and supports incremental growth—allowing businesses to avoid vendor lock-in while optimizing infrastructure costs.
Future-Proofed AI Architecture
Snowplow’s native integration with Azure Machine Learning, Synapse, and Event Hubs provides a robust foundation for AI and real-time applications. By delivering enriched, high-fidelity behavioral data in real time, Snowplow accelerates model development and deployment for use cases like personalization, predictive analytics, and fraud detection—ensuring your data strategy is ready for the next generation of intelligent applications.
Data Quality and Governance by Design
Snowplow enforces schema validation and data contracts at the point of collection, ensuring only clean, trusted behavioral data enters your Azure environment. This high level of data quality supports compliance and auditability, and integrates seamlessly with Azure’s security and access controls—offering enterprise-grade governance from day one.
Lakehouse-Native Ingestion with Microsoft Fabric and OneLake
Behavioral data collected via Snowplow is written directly to OneLake, the unified storage layer of Microsoft Fabric. This lakehouse-native integration gives teams immediate access to rich, structured event data in Fabric experiences like Spark Notebooks or Synapse Data Engineering. With Snowplow, your behavioral data is instantly available in the tools your teams already use—without requiring complex ETL or duplication.
Real-Time Streaming with Azure Event Hubs and Stream Analytics
For low-latency use cases, Snowplow supports real-time event streaming into Azure Event Hubs, enabling instant processing and decision-making. Teams can use Azure Stream Analytics to power dashboards, automate alerts, or trigger actions based on real-time customer interactions, unlocking time-sensitive applications like fraud detection and dynamic personalization.
How does it work?
