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kividb

A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in

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GITHUB · launched Oct 16, 2026 · 316 upvotes (top 3%)

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Could you build this?

No A Redis-compatible, multi-core, vector-searching in-memory database needs systems engineering for protocol fidelity, concurrency, memory management, and benchmark-competitive performance that vibe coding does not reliably produce.

What it would actually take: A real version requires a Rust codebase with a lock-free or sharded data structure design, Redis RESP protocol compatibility and command semantics, and a vector index such as HNSW with persistence. Competitive speed claims depend on careful profiling, memory layout, and concurrency work. Building and validating this takes senior database and systems engineers with serious benchmarking infrastructure.

Competitors

Other products that read as similar to this one : 2934 launches clear the similarity bar, closest 8 shown.

Attention rank: #96 of 2935 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 352 days after the earliest competitor.

Other launches for this product

More details
External ID
1421490995
Company
n/a
Product
kividb
Website domain
kividb.io
Cohort
n/a
Upvotes percentile
0.97
All tags
cache, database, dragonfly-alternative, drop-in-replacement, full-text-search, high-performance, in-memory, io-uring, key-value-store, kividb, multithreaded, nosql, redis, redis-alternative, redis-compatible, resp, rust, valkey, vector-database, vector-search
AI summary
redis-compatible in-memory database with vector search for developers
Manually corrected
No