This article details how redBus, the world's largest online bus ticketing platform, built its data platform using AWS services and migrated from Apache Superset to Amazon QuickSight for business intelligence dashboards.

• redBus processes 320 million events daily across multiple data sources and geographies
• Original data platform used Apache NiFi, Druid, S3, Redshift, and self-managed Superset for visualization
• Superset limitations: no multi-source visualizations, no global dashboard filters, developer-centric customization
• Self-managed Superset required significant operational overhead and infrastructure maintenance costs
• QuickSight offers drag-and-drop self-service BI, multi-source dashboards, cascading filters, and SPICE engine
• QuickSight provides row-level security, SAML integration, built-in ML insights, and native AWS service connectors
• redBus deployed sales anomaly detection dashboard with drill-down capabilities and email alerts
• Future plans include QuickSight Embedded Analytics, QuickSight Q for natural language queries

redBus successfully reduced operational complexity and total cost of ownership by adopting QuickSight as their managed BI solution while maintaining Superset for real-time APM dashboards.