“Great system…now please make it 10 times cheaper.”
That’s not exactly what the ShareChat team wanted to hear after completing a major engineering feat: scaling a real-time feature store 1000X without scaling their database (ScyllaDB). To scale from supporting 1 million features per second to 1 billion features per second, the team has already.
- Redesigned their database schema to store all features together as protocol buffers and optimized tile configurations (reduced required rows from 2B to 73M/sec)
- Switched their database…

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