DiceDB
DiceDB: A focused self-hosted cache for Redis-compatible workloads that need reactive query updates. Ranked #21 of 24 in In-Memory Databases by our editors (6.8/10); pricing: Free plan; best for redis-compatible caching with query subscriptions.
At a glance
- Editor score6.8 / 10
- PricingFree plan
- Best forRedis-compatible caching with query subscriptions
- Free planYes
- Paid fromFree
- DeploymentSelf-hosted
- Facts checked20 Sep 2026
Where it wins
- Redis and Valkey clients, SDKs, commands, and tooling
- OBSERVE query subscriptions push real-time updates
- RocksDB spill storage preserves TTLs across cache eviction
Where it doesn't
- Self-hosted deployment requires your own infrastructure
- Spilled storage starts fresh after each load
- Not suited to workloads requiring durable state across restarts
Our verdict on DiceDB
DiceDB is an open-source, self-hosted in-memory data structure server and data store built as a fork of Valkey. It targets caching, message queues, and applications that need reactive updates from changing query results. Redis- and Valkey-compatible commands, clients, SDKs, tooling, and workflows make it a focused option for teams already working with those ecosystems. Docker deployment is supported on Linux and macOS environments.
Its standout capability is query subscriptions through OBSERVE, which provides real-time push updates for subscribed queries. That makes DiceDB relevant to applications where clients need changes delivered as data updates occur instead of relying only on repeated reads. The storage model also extends beyond a purely memory-bound cache: evicted keys can spill to RocksDB, then be restored transparently after a cache miss. TTL preservation continues across eviction and restoration, helping time-limited data retain its intended expiration behavior.
DiceDB supports strings, hashes, lists, sets, sorted sets, and HyperLogLog, covering common Redis-style data structures. It is free and open source, with self-hosted deployment rather than a hosted service or paid plan structure. The main boundary is persistence: spilled storage starts fresh on every load, so it does not provide durable state across restarts. Choose DiceDB when Redis or Valkey compatibility, query subscriptions, and tiered cache storage are central requirements. Choose another option for workloads that need restart-persistent data or a managed deployment model.
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DiceDB pricing
DiceDB fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment | Self-hosted |
| Data persistence | No |
| High availability | Not verified |
| SQL support | Not verified |
| Vector search | Not verified |
| Included memory | Not verified |
| Supported data models | strings, hashes, lists, sets, sorted sets, HyperLogLog |
| Deployment | Self-hosted |
| Platforms | Linux, macOS |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: Redis clients and SDKs, Valkey clients and SDKs, Redis and Valkey tooling |
| Pricing | Free plan |
| Website | dicedb.io |
| Facts checked | 20 Sep 2026 |
DiceDB integrations
DiceDB lists 3 integrations on its own site.
- Redis clients and SDKs
- Valkey clients and SDKs
- Redis and Valkey tooling
Alternatives to DiceDB
- Couchbase ServerA broad in-memory platform with free production use and extensive database capabilities.9.4
- Apache IgniteOpen-source distributed SQL with in-memory speed, persistence, transactions, and compute.9.2
- InfinispanA Java-centric choice for clustered caching, persistence, replication, and search.9.0
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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