How do Snowplow and Microsoft Azure integrate for real-time event processing?

Snowplow and Microsoft Azure integrate for real-time event processing by leveraging Azure's comprehensive cloud services:

  • Event Ingestion: Snowplow streams events into Azure Event Hubs for high-throughput, low-latency data ingestion
  • Processing: Use Azure Stream Analytics, Azure Functions, or Azure Synapse Analytics to process Snowplow events in real-time
  • Storage: Store processed events in Azure Data Lake Storage or Azure Cosmos DB for analytics and machine learning
  • Analytics: Leverage Azure Synapse Analytics and Azure Machine Learning for advanced behavioral analytics and AI model development

This integration provides enterprise-grade scalability and security for Snowplow's behavioral data collection within Azure's ecosystem.

Learn How Builders Are Shaping the Future with Snowplow

From success stories and architecture deep dives to live events and AI trends — explore resources to help you design smarter data products and stay ahead of what’s next.

Browse our Latest Blog Posts
Upcoming Webinar

Building the Real-Time Foundation for AI-Powered Customer Experiences

Video

CDO Magazine Interview with Kalyani Sekar

Webinar

Reimagining Data Governance for Faster Business Outcomes

Upcoming Webinar

How Engel & Völkers Powers Smarter Content with Behavioral Data

Webinar

TDWI Tech-In-Action: Overcoming Challenges with Behavioral Data Pipelines

Get Started

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.

Book a DemoWatch our 10-min Demo