Garnet is Microsoft Research's cache-store built on .NET that speaks the Redis RESP wire protocol while delivering up to 10x higher throughput and 4x lower tail latency than comparable alternatives on identical hardware. The Tsavorite storage engine provides a cache-friendly, shared-memory architecture scaling linearly across CPU cores, supporting both in-memory operation and tiered storage across local SSDs and Azure Storage for datasets exceeding available RAM. Cluster mode enables sharded deployments with replication, dynamic key migration for live rebalancing, non-blocking checkpointing, and automatic failover using standard Redis cluster commands. The RESP implementation covers raw strings, sorted sets, lists, hashes, sets, bitmaps, HyperLogLog, streams, pub/sub, Lua scripting, and client-side transactions, allowing StackExchange.Redis, Jedis, redis-py, and other Redis clients to connect without modification. C#-based extensibility lets developers define custom commands and new data types as server-side stored procedures, compiled and loaded at runtime without restarting the server. TLS encryption, ACL-based access control, and operation logging complete the production feature set. Deployed across Microsoft services including Windows & Web Experiences, Azure Resource Manager, and Azure Resource Graph. Nearly 12,000 GitHub stars. MIT licensed.

With over 30,000 GitHub stars and benchmarks showing 25x the throughput of single-threaded Redis, DragonflyDB is a modern in-memory data store that eliminates the need for complex Redis Cluster deployments by fully utilizing every CPU core on a single machine. Its shared-nothing, thread-per-core architecture written in C++ supports over 200 Redis commands and 13 Memcached commands, making it a true drop-in replacement that requires zero application code changes. A single DragonflyDB instance scales vertically from 8GB to 768GB of RAM across up to 64 cores, replacing entire Redis Cluster topologies with one process while maintaining full compatibility with Strings, Hashes, Lists, Sets, Sorted Sets, Streams, JSON, and Bloom Filters. The novel dashtable data structure and cache eviction algorithm achieve higher hit rates than LRU and LFU with zero memory overhead per entry. Forkless point-in-time snapshotting eliminates the memory spikes associated with Redis BGSAVE, while automatic backup scheduling via cron syntax supports both local disk and AWS S3 cloud storage. Primary-replica replication follows the Redis replication protocol up to version 6.2, and Prometheus-compatible metrics at the default port enable Grafana monitoring dashboards out of the box. DragonflyDB also exposes an HTTP admin interface on its main TCP port for operational monitoring. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSL 1.1 licensed.