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Hazelcast Platform combines shared in-memory data and stream processing, so replacing it is not always a one-for-one database swap. We’d first separate the workloads: Redis targets fast shared data, while PostgreSQL and MySQL provide relational storage. MongoDB fits document data; ClickHouse and Elasticsearch focus on analytics and search. The right choice depends on which Hazelcast responsibilities your codebase actually uses, how much migration work you can take on, and whether you want to operate the service yourself.
01Why people leave Hazelcast Platform
Replace only the workload you need
Hazelcast combines shared in-memory data and stream processing. Alternatives often target narrower roles, so map the workloads before choosing a replacement.
Choose deployment control
If self-hosting matters, compare options such as Redis, PostgreSQL, MongoDB and MySQL, which are listed as self-hostable.
Match cost to actual use
Starting prices vary, and they do not establish production cost. Check each provider’s pricing units and free-plan limits against your workload.
02The alternatives, ranked by fit
- Shared fast data
RedisRedisChoose Redis when Hazelcast’s shared fast-data role matters more than its broader platform scope. Redis covers caching, AI context and multi-region reads, and is listed as open source and self-hostable. Its listed starting price is $5 with a free plan. Treat the change as a data-layer migration, not proof of equivalent stream-processing behavior; map data structures and client requirements first.
Trade-off: You may need another system for stream processing or durable relational data.
7.5/10from
$5/mofree plan - Open-source SQL
PostgreSQLPostgreSQLPostgreSQL fits teams replacing shared state with a relational data layer they can host themselves. It is listed as free and open source, with no starting price published. That can reduce dependence on a proprietary platform, but it changes the data model and operating work. Check how your application uses Hazelcast before moving state into relational tables.
Trade-off: Your team supplies hosting and database operations; it is not a drop-in in-memory platform.
8.4/10from
Freefree plan - Document-shaped data
MongoDBMongoDBMongoDB is a fit when application data is document-shaped and a document-oriented query API suits the codebase. It is listed as self-hostable, with Atlas also available; the listed starting price is $8 with a free plan. Moving from Hazelcast means reviewing data shape and query patterns, rather than assuming the existing shared-state model maps directly.
Trade-off: Flexible schemas need deliberate design, and document storage does not replace every Hazelcast workload.
7.2/10from
$8/mofree plan - GPL relational database
MySQLMySQLMySQL suits applications already built around MySQL or teams that specifically need a GPL database. It is listed as open source and self-hostable, with a free plan and a $178.33 starting price. Existing MySQL applications may need less data-model change than a move to a different database family, but Hazelcast integrations still need to be redesigned.
Trade-off: Production costs and licensing depend on the edition and server size.
7.3/10from
$178.33/mofree plan - Real-time analytics
ClickHouseClickHouseClickHouse is worth considering when the Hazelcast workload to replace is real-time analytics over large datasets. It is listed as open source and self-hostable, with no starting price published. Its columnar database model is a different fit from general shared application state, so keep it focused on analytical queries and plan for database operations.
Trade-off: It is not a general-purpose shared-state store, and your team must operate it.
8.3/10from
Custom - Search and retrieval
ElasticsearchElasticsearchElasticsearch fits teams whose Hazelcast-adjacent workload is search across large datasets or hybrid retrieval for AI applications. It is listed as open source and self-hostable, with a $99 starting price. This is a narrower replacement than Hazelcast Platform: assess search and indexing needs separately from shared application state and stream processing.
Trade-off: Cluster operations and scaling add work; it does not cover Hazelcast’s full platform scope.
7.5/10from
$99/mo
03Side by side
| Tool | Score | From | Free plan | Best for |
|---|---|---|---|---|
 Hazelcast Platform Hazelcast Platform (current) | 6.5 | Custom | No | Real-time applications needing shared state |
| Redis Redis | 7.5 | $5/mo | Yes | Apps needing shared, fast data |
| PostgreSQL PostgreSQL | 8.4 | Free | Yes | Teams that want open-source database software |
| MongoDB MongoDB | 7.2 | $8/mo | Yes | Apps built around document-shaped data |
| MySQL MySQL | 7.3 | $178.33/mo | Yes | Applications already built on MySQL |
| ClickHouse ClickHouse | 8.3 | Custom | No | Real-time analytics on large datasets |
| Elasticsearch Elasticsearch | 7.5 | $99/mo | No | AI apps needing hybrid retrieval |
Questions people ask
Is Redis the closest Hazelcast Platform alternative?
Redis is the closest fit in this list when the job is shared, fast data: it covers caching and is listed as self-hostable and open source. Hazelcast also combines stream processing with in-memory data, so Redis should not be assumed to replace both roles. Compare the workloads and client requirements first.
Can PostgreSQL replace Hazelcast Platform?
PostgreSQL can replace a relational data layer, but it is not a like-for-like replacement for a platform combining shared in-memory data and stream processing. It is listed as free, open source and self-hostable. Teams must take on hosting and operations, and should plan for data-model and application changes.
How much do Hazelcast Platform alternatives cost?
Listed starting prices include $5 for Redis, $8 for MongoDB, $99 for Elasticsearch and $178.33 for MySQL; each is also listed with a free plan. PostgreSQL and ClickHouse have no starting price published. These figures are not directly comparable: check billing units, limits and production requirements before budgeting.