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Redis spans caching, shared data and AI context, but it is not the right store for every workload. A Reddit discussion about whether Redis counts as a database points to the real issue: teams can mean different things by that term, and different stores suit different uses. These alternatives trade Redis’s model for relational, document, analytical or search-oriented data. Compare the migration against your access patterns, and check current pricing before estimating production cost.
01Why people leave Redis
Your app needs relational data
A Reddit discussion highlights different expectations of Redis as a database. PostgreSQL or MySQL may fit applications that need a relational data layer.
Your workload is analytical
For real-time analytics or local SQL over files, ClickHouse and DuckDB target those workloads rather than serving as general-purpose Redis substitutes.
Your data is document-shaped
MongoDB is built for document-centric applications. Consider it when your app’s data and operations fit that model better than Redis’s.
02The alternatives, ranked by fit
- Best relational option
PostgreSQLPostgreSQLChoose PostgreSQL when the application needs a relational data layer rather than Redis’s in-memory key-value model. It is open source and self-hostable, so teams can run the database themselves; the tradeoff is supplying hosting and operational work. The listed starting price is n/a, with a free plan. Treat this as a data-model migration, not a Redis client swap.
Trade-off: Your team takes on database hosting and operations.
8.4/10from
Freefree plan - Best for documents
MongoDBMongoDBMongoDB suits applications built around document-shaped data and provides one query API for document-centric apps. It is self-hostable; the listed starting price is $8, with a free plan. Choose it when the data model fits, but plan schema design deliberately. Moving from Redis means revisiting how the app represents and accesses its data.
Trade-off: Flexible schemas still need deliberate design.
7.2/10from
$8/mofree plan - Best for MySQL stacks
MySQLMySQLMySQL is a practical candidate when the application already uses MySQL or needs a self-hosted GPL database. It is open source and self-hostable, and the listed starting price is $178.33 with a free plan. Production costs and licensing depend on the edition and server size, so check those against your deployment before planning a move.
Trade-off: Edition, server size and licensing affect production cost.
7.3/10from
$178.33/mofree plan - Best for analytics
ClickHouseClickHouseClickHouse is aimed at real-time analytics on large datasets and fast analytical SQL, not a like-for-like Redis replacement. It is open source and self-hostable, which suits teams prepared to operate a database. The listed starting price is n/a. Consider it when analytical queries are the requirement, and plan for a different data model and query path.
Trade-off: A columnar analytics database is not a general Redis substitute.
8.3/10from
Custom - Best for local analytics
DuckDBDuckDBDuckDB is a free, in-process SQL analytics database for local data work and embedded analytical queries. It is open source and self-hostable, with a free plan and a listed starting price of n/a. Its fit is strongest when you need SQL over data such as Parquet and CSV, not a shared Redis-style store for application state.
Trade-off: Its focus is in-process analytical work, not shared application state.
8.5/10from
Freefree plan - Best for search
ElasticsearchElasticsearchElasticsearch fits teams that need search across large datasets or hybrid retrieval for AI applications. It is open source and self-hostable; the listed starting price is $99. Choose it for search-oriented workloads rather than as a general Redis replacement. Its operating and scaling complexity makes cluster experience an important part of the decision.
Trade-off: Cluster operations and scaling add complexity.
7.5/10from
$99/mo - Best managed Postgres
NeonNeonNeon offers managed Postgres for applications that want a relational data layer without choosing a self-hosted server. Its listed starting price is $15, with a free plan; it also includes branching and backend services. Paid bills depend on usage, so estimate from expected use. The move still means adapting Redis data access to Postgres.
Trade-off: Paid bills depend on usage, and Postgres requires a data-access migration.
7.6/10from
$15/mofree plan
03Side by side
| Tool | Score | From | Free plan | Best for |
|---|---|---|---|---|
 Redis Redis (current) | 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 |
| DuckDB DuckDB | 8.5 | Free | Yes | Local SQL analytics and data wrangling |
| Elasticsearch Elasticsearch | 7.5 | $99/mo | No | AI apps needing hybrid retrieval |
| Neon Neon | 7.6 | $15/mo | Yes | Apps needing managed Postgres |
Questions people ask
Is any of these a drop-in Redis replacement?
Do not assume so. These products target relational data, documents, analytics or search, rather than promising Redis compatibility. Choose based on the workload you need to support, then plan for changes to the data model and application access patterns. Check each vendor’s API and SDK documentation before committing.
Which Redis alternative is cheapest?
There is no like-for-like price comparison in the listed starting prices: DuckDB and PostgreSQL show n/a with a free plan, while Neon starts at $15 with a free plan and MongoDB at $8 with a free plan. Self-hosting still requires hosting and operational work; check pricing for your expected usage.
Which alternatives can we self-host?
The listed self-hostable options include PostgreSQL, MySQL, ClickHouse, DuckDB, MongoDB and Elasticsearch. Self-hosting gives your team control over deployment, but also makes your team responsible for operating the database. Neon is listed as managed Postgres, rather than as a self-hosted option.