With 26,600 GitHub stars, 50 contributing companies including AWS, Google Cloud, Oracle, and Ericsson, and governance under the Linux Foundation ensuring the BSD 3-Clause license can never be revoked by a single entity, Valkey delivers a truly open-source Redis-compatible key-value datastore that reached 1.19 million requests per second in version 8.0 through redesigned asynchronous I/O threading across CPU cores while maintaining single-threaded data structure operations for predictability. Native data structures include strings, hashes, lists, sets, sorted sets, bitmaps, HyperLogLogs, streams, and geo-spatial indices with JSON support through modules. Valkey 9.0 shipped full-text search and aggregation via Valkey Search, enabling tag queries, numeric filtering, and text matching directly within the datastore without external search engines. Cluster mode provides horizontal scaling with automatic sharding, replication for high availability, and per-slot metrics for granular monitoring. Lua scripting enables complex atomic operations, while the module plugin system extends the server with custom commands and data types including probabilistic Bloom filters. Client libraries for Python, Java, Go, Node.js, and PHP maintain full Redis OSS protocol compatibility — existing Redis applications work without code changes. Deploy as a standalone daemon or in clustered mode with Docker, supporting persistent and ephemeral workloads on any Linux host. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD 3-Clause licensed.

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.

Every Redis client you already use connects to Kvrocks without a single code change, but instead of holding your entire dataset in RAM, data lives on SSD through RocksDB, turning terabytes of memory cost into pennies of disk. An Apache Software Foundation top-level project, Kvrocks supports strings, hashes, lists, sets, sorted sets, streams, bitmaps, JSON documents, TimeSeries data points, Bloom filters, Cuckoo filters, and HyperLogLog structures, all persisted to disk with in-memory caching for hot data access. Asynchronous replication using binlog similar to MySQL provides data durability across replicas, while Redis Sentinel integration enables automatic failover when master or replica nodes fail. The proxyless centralized cluster architecture distributes data across shards while remaining fully compatible with standard Redis cluster SDKs and clients. Token-based namespaces provide multi-tenant isolation with authentication per namespace, going beyond Redis SELECT's numbered database model. RocksDB's LSM-tree storage engine provides efficient compression through configurable compaction strategies, reducing disk footprint dramatically while maintaining sub-millisecond reads for cached keys. Migration tooling includes RedisShake for Redis-to-Kvrocks live migration and kvrocks2redis for reverse migration, enabling gradual adoption without service interruption. The kvrocks_exporter exposes Prometheus-compatible metrics for monitoring, and OpenTelemetry integration provides distributed tracing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.