DistKV
DistKV: A Java-focused, strongly consistent in-memory store for self-hosted services. Ranked #31 of 31 in Key-Value Databases by our editors (6.2/10); pricing: Open source; best for strongly consistent Java-centric in-memory systems.
At a glance
- Editor score6.2 / 10
- PricingOpen source
- Best forStrongly consistent Java-centric in-memory systems
- Paid fromFree
- Deployment modelSelf_hosted
- Facts checked22 Sep 2026

Where it wins
- Strong consistency for distributed in-memory key-value storage
- Redis-like structures plus table-based data modeling and queries
- Synchronous and asynchronous Java client SDKs
Where it doesn't
- Memory-only operation is unsuitable when durable persistence is required
- Self-hosted deployment places server operation with the user
- No documented TTL, clustering, or multi-region support
Our verdict on DistKV
DistKV is a self-hosted, open-source distributed key-value database for applications and microservices that need in-memory operation with strong consistency. Its table concept supports structured records, while Redis-like structures cover strings, lists, sets, dictionaries, sorted lists, and tables. The product is particularly suited to Java-centric teams because it provides both synchronous and asynchronous Java client SDKs, alongside a command-line client for local server operation and administration.
Its main strength is the combination of distributed key-value storage, table-based queries, and a strong consistency model in one focused system. The Java SDK options support both synchronous and asynchronous application patterns, and the Pine ecosystem connects DistKV with web applications and microservices. That makes it a practical fit for self-hosted services built around Java clients and structured in-memory data, especially when Redis-like data types and table records are both relevant.
DistKV's narrow operating model also defines its limits. It runs in memory, so teams requiring durable storage should choose a database with a persistence model suited to that requirement. The available product details also do not establish TTL, clustering, or multi-region capabilities, which makes it a less suitable choice for deployments that depend on those functions. Choose DistKV when strong consistency, Java access, self-hosting, and in-memory performance align with the architecture; consider an alternative when persistence, broader deployment features, or a wider integration ecosystem are central requirements.
Your product? Our editors can test DistKV in depth and publish a review, labelled as paid · from $149/mo →
DistKV pricing
DistKV fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Deployment model | Self_hosted |
| Maximum value size | Not verified |
| Persistence modes | Memory |
| TTL support | Not verified |
| Clustering support | Not verified |
| Multi-region support | Not verified |
| Supported protocols | Not verified |
| Deployment | Self-hosted |
| Platforms | Linux, Windows, macOS |
| Support | Docs, Community |
| Built for | Solo, Small business (editorial estimate) |
| Pricing | Open source |
| Website | distkv.com |
| Facts checked | 22 Sep 2026 |
Alternatives to DistKV
- Amazon DynamoDBA mature AWS database for scalable key-value and document workloads.9.3
- Aerospike DatabaseA strong fit for high-scale, consistency-sensitive workloads across hybrid environments.9.1
- Google Cloud BigtableA scalable Bigtable service for analytical workloads, with broad integrations and usage-based pricing.9.0
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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