Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/mongodb-vs-scylladb-architecture-comparison.
A deep architectural comparison of MongoDB and ScyllaDB, revealing why their designs lead to very different performance and scalability.
Check more stories related to cloud at: https://hackernoon.com/c/cloud. You can also check exclusive content about #mongodb-vs-scylladb, #scylladb-shard-per-core-design, #multi-primary-nosql-databases, #high-throughput-nosql-db, #distributed-db-performance, #mongodb-sharded-cluster, #scalable-mongodb-replica-set, #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.

MongoDB and ScyllaDB solve similar NoSQL problems using fundamentally different architectures. MongoDB relies on replica sets and sharded clusters that increase operational complexity as workloads scale. ScyllaDB uses a multi-primary, shard-per-core design that delivers predictable low latency, high throughput, and simpler horizontal scaling—especially for performance-critical workloads.