ScyllaDB implementation: Lists in Medium’s feature store, Part 2
Medium uses ScyllaDB to efficiently manage and scale list features in its feature store, ensuring high performance and scalability.
MAIN POINTS
- ScyllaDB is used for high throughput, low latency, and scalable list feature management.
- The data model relies on a single table with a partition key for efficient list operations.
- List operations are implemented with efficient queries, using secondary indexes and TTL for data management.
TAKEAWAYS
- ScyllaDB's architecture supports efficient query execution and data distribution across nodes.
- The data model enables handling high loads with efficient list item retrieval and storage.
- TTLs and secondary indexes help manage data size and query efficiency, respectively.