Hazelcast vs Redis vs Apache Ignite: Caching, Data Grids, Licensing and When to Use Each

The short answer

Use Redis or Valkey when you want a fast, shared cache or data structure server that any language can talk to. Use Hazelcast or Apache Ignite when your applications are mostly on the JVM and you want a data grid: data partitioned across members, code that runs next to the data, and the option of embedding the grid in the application itself. Between the two grids, Ignite leans further towards being a database, with native persistence and ANSI-99 SQL; Hazelcast leans towards caching and stream processing. Licensing differs too. Ignite is Apache 2.0 throughout. Hazelcast Community Edition is Apache 2.0 plus the Hazelcast Community License, and its patch releases go to Enterprise customers only. Redis 8 is under RSALv2, SSPLv1 or AGPLv3, and Valkey is BSD.

Hazelcast vs Redis vs Ignite at a glance

Redis and Valkey: a shared server for every language

Redis is a data structure server. Clients in any language send commands to it over the network, and it executes those commands on one main thread, which keeps every operation atomic and easy to reason about. It persists with RDB snapshots, an append-only file or both, and it scales out with replicas, Sentinel and Redis Cluster. Valkey is the BSD-licensed Linux Foundation fork of Redis 7.2 and works the same way, with I/O threads taking network work off the main thread. Our Redis vs Memcached vs Valkey and Valkey vs Redis posts cover the differences between those two.

That model suits a cache shared by services in several languages, session storage, rate limiters, leaderboards and queues. It suits less well a workload where the application wants to run logic against large amounts of cached data without moving it across the network.

Hazelcast: a data grid that can live inside your application

Hazelcast is written in Java, and its documentation describes two topologies. In embedded mode, each instance of your application starts a Hazelcast member and the members form a cluster among themselves; your Java classes are visible to the grid, so entry processors and jobs need no separate deployment. In client/server mode the cluster runs on its own and applications connect through Java, C++, C#, Go, Node.js or Python clients, which lets the grid scale independently. Near Cache keeps frequently read entries in the client's own memory.

Data is split into 271 partitions by default, each with a primary and backup replicas spread across members and rebalanced as members join or leave. Each member runs partition-aware operations on an array of operation threads, by default one per core, so a single member uses every core for data operations. Hazelcast also includes the Jet engine for stream processing, and SQL over maps, Kafka topics and files when Jet is enabled.

The edition split matters for support. The Community Edition is free under the Apache License 2.0 and the Hazelcast Community License. The Enterprise Edition is a separately licensed product with a support subscription, and features such as persistence to disk and WAN replication carry the Enterprise label in the documentation. From 5.4, patch releases go only to Enterprise customers; Community users get fixes in the next minor or major release. Hazelcast 5.7.0 shipped on 13 May 2026.

Apache Ignite: closer to a distributed database

Apache Ignite describes itself as a distributed database for high-performance computing with in-memory speed. It can also run purely in memory as a cache or data grid, but two features push it towards the database end. Native persistence, when enabled, stores all data on disk and keeps as much as fits in RAM, so the cluster can hold more than its memory and restart without reloading from elsewhere. And Ignite 2 ships an ANSI-99 SQL engine reachable over JDBC and ODBC, with tables partitioned or fully replicated across nodes.

Ignite has two lines. Ignite 3 is a rewrite with SQL and ACID transactions at its core; 3.0 shipped in February 2025 and 3.1 in October 2025. The 2.x line still gets minor releases, with 2.18.0 announced on 6 May 2026. Moving from 2 to 3 is a migration, not an upgrade, as our Ignite 2 to 3 migration guide explains. Everything in Ignite is Apache 2.0, and there is no paid edition from the project itself.

How to choose

• Choose Redis or Valkey for a cache or data structure store shared by services written in several languages, where every client talks to a central service and operations are small and fast. Valkey if you want a BSD licence under a foundation; Redis if you want Redis Ltd.'s modules or commercial products.
• Choose Hazelcast for JVM applications that want an embedded or near-cache grid, entry processors and stream processing in one product, and where you are content with Community releases or ready to buy the Enterprise Edition for patches, persistence and WAN replication.
• Choose Apache Ignite when the grid needs to be durable and queryable with SQL: datasets larger than memory, a system of record held in the grid, or compute that runs alongside partitioned tables, all under Apache 2.0.

A practical point: if the data must be read from Python, Go and Node.js services as often as from Java, Redis or Valkey usually wins on simplicity. If most reads come from Java services in the same process or the same rack, the grids can avoid a network hop that Redis cannot.

Performance

None of the three projects publishes a neutral comparison, and vendor benchmarks are written to win. The architecture tells you where each is strong. Redis and Valkey execute commands on one main thread per process and scale by adding shards, which makes small operations very fast and predictable. Hazelcast and Ignite spread operations across all cores on each member, and in embedded mode or with a near cache a read can be served from local memory with no network round trip at all. Against that, the JVM grids pay for garbage collection and serialization, and Ignite with native persistence trades some speed for durability. Test with your own key sizes, value sizes, client languages and failure scenarios before choosing on speed.

Where OSSeva fits

OSSeva supports all three families. OSSeva for Hazelcast ships patched builds for IMDG 3.x, 4.x and older Platform 5.x releases without a Hazelcast subscription, with client and member artifacts released together; OSSeva Assure adds a cluster, split-brain and serialization review and a costed comparison of the paths off 3.x and 4.x. OSSeva for Apache Ignite patches the 2.x line with the API and storage format unchanged, and Assure includes an Ignite 3 migration assessment. OSSeva for Redis ships patched Redis 6.2 and 7.0 builds and supports Valkey 7.2 and 8.x. Each is priced per cluster and sits under one contract with PostgreSQL, Kafka and the rest of the stack. See Hazelcast support providers, Ignite support providers and Redis and Valkey support providers, or book a discovery call for a quote.

Frequently asked questions

Hazelcast vs Redis cache: which is better for caching?

For a cache shared by services in many languages, Redis or Valkey is simpler to run and to use. For a cache inside JVM applications, Hazelcast's embedded mode and Near Cache can serve reads from local memory, and entry processors update data where it lives. Spring Boot's cache abstraction can use either: it auto-detects Hazelcast directly or through JCache, and Redis.

Hazelcast vs Redis performance: which is faster?

It depends on where the reads happen. Redis executes commands on one main thread per process; Hazelcast runs operations on one thread per core on each member and can serve reads locally in embedded mode. Neither result transfers from a vendor benchmark to your workload, so measure with your own data and clients.

Ignite vs Hazelcast: what is the difference?

Both are JVM data grids with partitioned data and server-side compute. Ignite adds native persistence, so data can exceed memory and survive restarts, and an ANSI-99 SQL engine, all under Apache 2.0. Hazelcast focuses on caching and stream processing, with persistence and WAN replication in its Enterprise Edition and patch releases only for Enterprise customers since 5.4.

Apache Ignite vs Hazelcast vs Redis: which should I choose?

Redis or Valkey for a fast, language-neutral cache or data structure server. Hazelcast for JVM caching and stream processing with an embedded option. Ignite when the grid has to be durable and queried with SQL. Running Redis or Valkey for shared caching alongside a JVM grid for one application's working set is also a reasonable split.

Is Hazelcast open source?

The Community Edition is free and covered by the Apache License 2.0 and the Hazelcast Community License; the source repository defaults to Apache 2.0 unless a file header says otherwise. The Enterprise Edition is a separate, commercially licensed product, and since 5.4 patch releases go only to Enterprise customers.

Can Hazelcast replace Redis?

For Java applications using Redis as a key-value cache, often yes, through Hazelcast's map and cache APIs. It is not a drop-in replacement: Hazelcast's documented clients include Memcache and REST but not the Redis protocol, and Redis-specific structures such as sorted sets and streams need rewriting. If you only want to leave Redis's licence, Valkey keeps the protocol and commands.