Garnet vs Hazelcast Platform

Garnet is a free remote cache-store from Microsoft Research for self-hosted use on Linux, macOS, and Windows. It uses RESP and works with many unmodified Redis clients, including StackExchange.Redis; documented libraries also include Jedis, Redisson, redis-py, node_redis, and go-redis. Its data APIs cover strings, lists, hashes, sets, sorted sets, geo operations, HyperLogLog, bitmaps, ACLs, pub/sub, transactions, and Lua scripting. Garnet can store datasets larger than memory on local or cloud storage and supports checkpointing and recovery. Multi-node mode provides sharding, state migration, and replication. Developers can register C# data structures and read-modify-write operations through its custom operator framework. TLS/SSL and password-based RESP authentication are supported. DiskANN vector database support and Bf-Tree range indexes are marked preview. Garnet is MIT-licensed, but is not intended as a fully compatible Redis replacement and does not support Redis modules. The self-hosted plan is free; you manage infrastructure, updates, and operations. The managed Azure Cosmos DB Garnet Cache is in expanded Private Preview, with no price listed.

Hazelcast Platform brings a distributed compute engine and an in-memory data store together for real-time and AI-driven applications. It can process streaming data before storage, supporting action on data in motion, and provides fast reads and writes for interactive request/response workloads. SQL processing, stateful processing, event-time windows, and Java and SQL are listed capabilities. WAN Replication synchronizes clusters and supports automatic failover to a secondary cluster for disaster recovery. Security features include JAAS role-based access controls and TLS encryption for data moving between nodes and applications. The platform runs on public and private clouds, is available through AWS, Google Cloud, and Azure marketplaces, and supports hybrid deployment. Its Kafka Connector processes Apache Kafka topic streams and sends processed data back to Kafka. Hazelcast identifies mission-critical, data-intensive AI workloads as a focus, including use in financial services, retail, supply chain, and healthcare. The platform is available for Linux, macOS, and Windows, as well as through an API and self-hosted deployment. A free plan and free 30-day Enterprise trial are listed; the trial requires a requested license key. The annual self-managed subscription includes professional support, with pricing available by request.