How MoEngage Achieved Millisecond Personalization with ScyllaDB

About this episode

MoEngage rebuilt its real-time data infrastructure using ScyllaDB to achieve millisecond personalization and handle large-scale data processing.

This story was originally published on HackerNoon at: https://hackernoon.com/how-moengage-achieved-millisecond-personalization-with-scylladb . MoEngage built a ScyllaDB-powered Eventstore handling 250K writes per second, 200TB+ of data, and millisecond queries for real-time personalization. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories . You can also check exclusive content about #real-time-event-processing , #moengage-eventstore , #customer-engagement-platform , #real-time-user-segmentation , #multi-tenant-architecture , #low-latency-event-storage , #large-scale-customer-data , #good-company , and more. This story was written by: @scylladb . Learn more about this writer by checking @scylladb's about page, and for more stories, please visit hackernoon.com . MoEngage rebuilt its real-time data infrastructure to support instant personalization, segmentation, and customer engagement. Its ScyllaDB-powered Eventstore processes more than 250,000 writes per second with 1ms average latency while managing over 200TB of data. The architecture enables real-time triggers, live activity feeds, and low-latency user timelines, replacing limitations of…

Topics covered

• real-time personalization
• data infrastructure
• customer engagement
• event processing
• low-latency storage

Keywords

• MoEngage
• ScyllaDB
• Eventstore
• real-time data
• customer engagement
• low-latency
• data processing
• personalization
• segmentation

Mentioned in this episode

Organizations: MoEngage, ScyllaDB, HackerNoon

Products: Eventstore, customer-engagement-platform, real-time-user-segmentation, multi-tenant-architecture, low-latency-event-storage, large-scale-customer-data

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