apache/flinkGitHub
choose when you need a standalone stream-processing engine and will provide external storage instead of using Hazelcast's built-in store.
Apache Flink
- 26.3k
- Java
- Apache-2.0
active1mo ago
hazelcast/hazelcast Alternatives
distributed in-memory data store and stream processing
Hazelcast is a Java distributed in-memory data platform that combines key-value storage and caching with stream processing, SQL, and real-time event-driven access.
Same job, different approach
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
oracle/coherenceGitHub
choose when you want an enterprise Java in-memory data grid with Oracle support and do not need Hazelcast's integrated stream-processing layer.
Oracle Coherence Community Edition
- 470
- Java
- UPL-1.0
active1mo ago
Older generation, or narrower
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
dragonflydb/dragonflyGitHub
choose when Redis/Memcached-protocol high-throughput caching is all you need and you do not need Hazelcast's JVM data grid or stream processing.
A modern replacement for Redis and Memcached
- 31.0k
- C++
- NOASSERTION
active1mo ago
olric-data/olricGitHub
choose when you want a lightweight Go-embeddable distributed in-memory cache instead of a Java platform with stream processing.
Distributed, in-memory key/value store and cache. It can be used as an embedded Go library and a language-independent service.
- 3.5k
- Go
- Apache-2.0
active2mo ago
redis/redisGitHub
choose when a lightweight Redis-protocol cache/data-structure server covers your real-time store needs and you will supply stream processing separately.
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
- 76.1k
- C
- NOASSERTION
active2mo ago
microsoft/garnetGitHub
choose when you need a .NET-friendly remote cache-store and can give up Hazelcast's stream-processing/SQL layer.
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
- 12.0k
- C#
- MIT
active1mo ago
valkey-io/valkeyGitHub
choose when you want a BSD-licensed Redis-compatible key-value store/cache and no Hazelcast-style compute or stream processing.
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
- 27.0k
- C
- BSD-3-Clause
active1mo ago
Listed as an alternative to
These projects were analysed and named hazelcast among their alternatives. The relationship is not symmetric — how hazelcast rates them is a separate judgement, made when hazelcast is analysed in its own right.
redis/redisGitHub
calls hazelcast “Choose when you need a Java-based in-memory data grid with stream processing alongside caching.”
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
76.1kCactive
valkey-io/valkeyGitHub
calls hazelcast “choose when you need a Java in-memory data grid with stream processing and a broader data platform rather than a pure key-value cache.”
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
27.0kCactive
apache/flinkGitHub
calls hazelcast “Choose when you want embedded stream processing co-located with an in-memory data grid instead of a separate Flink cluster.”
Apache Flink
26.3kJavaactive
microsoft/garnetGitHub
calls hazelcast “choose when you need a JVM distributed in-memory data grid with caching plus stream processing, not RESP-compatible”
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
12.0kC#active