TechPrufer
Get started
Notion
Notion logoNotion · Feature trail

Multi-Region Data Systems

1 post · Apr 2026

What this trail covers

Notion has implemented multi-region data systems to support data residency requirements, particularly for EU customers. This involves separating data lakes, AI infrastructure, and event logging by region. Key architectural changes include modularizing infrastructure, using workspace ID as a routing identifier, and implementing region-specific Spark jobs, vector databases, and Kafka clusters. Centralized systems like Airflow orchestrate regional jobs, and mapping tables track workspace regions. Event logging now uses region-aware Cloudflare workers and Snowpipe streaming connectors for regional data sinks.

All Notion trails
  1. Enabling Multi-Region Data Systems at NotionThis post details the technical implementation of multi-region data systems at Notion to support data residency for EU customers. It covers the architectural changes required to isolate data processing and storage within specific regions, including regional data lakes powered by Debezium and Spark, regional AI infrastructure with vector databases and Kafka, a centralized job orchestration system (Airflow) that directs region-specific Spark jobs, and region-aware event logging using Cloudflare Workers and Snowpipe streaming connectors. Key patterns for maintainability such as a workspace-to-region mapping table and shared code helpers are also discussed.