Modern systems generate massive amount of JSON in logs, traces, device tags, custom properties...Apache Doris’s VARIANT type was built to handle JSON at scale, especially when JSON evolves fast, contains thousands of fields, and needs to be queried analytically. Three real-world use cases of JSON and VARIANT from our recent webinar: 1️⃣ Observability: Logs & Traces - Handles field type changes without data loss - Automatically adds/removes fields from the schema - Achieves 5X compression vs storing JSON as strings - Huge savings on storage for log-heavy workloads 2️⃣ IoT & IoV - Apache Doris delivers better analytical performance than traditional time-series databases - Can run nested/array functions directly (e.g., array_contains(tags['b'], 1)) 3️⃣ SaaS Companies - Supports thousands of dynamic customer-defined fields - Rich indexing for high concurrency customer-facing dashboards - Full-text search + JOINs in the same engine. Hard to find outside Apache Doris. Grateful to the insightful sharing from Owen Xiao, Apache Doris PMC Member and VeloDB Product VP. 👉 Watch the webinar in full: https://lnkd.in/g6JKcx4w