Dev tools · alternatives · 2026

24 alternatives to 20x faster pgvector alternative written in Rust

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs

This is a Rust-based vector database alternative to pgvector, designed for developers working with vector search functionality. It targets teams needing faster performance for similarity search operations in their… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. 20x faster pgvector alternative written in Rust launched in 2023; newer entries below may have overtaken it.

1
Vector – A High-Performance Log and Metric Router Written in Rust▲322
A high-performance observability data pipeline. Contribute to vectordotdev/vector development by creating an account on GitHub.
2019 · github.com · its alternatives →
2
Speeding up PostgreSQL through vectorized execution▲332
Vectorized executor to speed up PostgreSQL. Contribute to citusdata/postgres_vectorization_test development by creating an account on GitHub.
2014 · github.com · its alternatives →
3
Postgres as a VectorDB GUI▲162
Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.
2024 · github.com · its alternatives →
4
CloseVector▲100
Portable Vector database
2023 · closevector.getmegaportal.com · its alternatives →
5
Hyvector – A fast and modern SVG editor▲331
I have been working on Hyvector for the last five years and finally decided to present the result of my work. Hyvector is an SVG editor that runs in all modern browsers. It is stable, very fast, and capable of handling complex SVG images. Big new features like art strokes, vector tracing, colorizing are in the making, but for now the focus is on pushing a polished first release out of the door. I would love to hear any feedback on what you like, missing features, or any bugs you encounter via our issue tracker: https://github.com/hyvectorapp/hyvector-issues Note that…
2025 · hyvector.com · its alternatives →
6
PgDog – Scale Postgres without changing the app▲326
Hey HN! Lev and Justin here, authors of PgDog (https://pgdog.dev/), a connection pooler, load balancer and database sharder for PostgreSQL. If you build apps with a lot of traffic, you know the first thing to break is the database. We are solving this with a network proxy that works without requiring application code changes or database migrations. Our post from last year: https://news.ycombinator.com/item?id=44099187 The most important update: we are in production. Sharding is used a lot, with direct-to-shard queries (one shard per query) working pretty much…
Feb 2026 · github.com · its alternatives →
7
TurboQuant for vector search – 2-4 bit compression▲89
A vector index built on TurboQuant, written in Rust with Python bindings - RyanCodrai/turbovec
Mar 2026 · github.com · its alternatives →
8
HelixDB – Open-source vector-graph database for AI applications (Rust)▲237
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
9
StarVector▲311
Generate SVG code from images and text
2025 · starvector.github.io · its alternatives →
10
Postgres extension for BM25 relevance-ranked full-text search▲203
Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too. The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our…
Mar 2026 · github.com · its alternatives →
11PE
Pg-extend-rs – Easy Postgres extensions in Rust▲244
2018 · bluejekyll.github.io · its alternatives →
12AP
A pgvector fork with the performance of Pinecone▲10
Hi friends, Excited to share our latest project, pgvector-remote, with you all! pgvector-remote is an extension designed to effortlessly incorporate remote vector stores, like Pinecone, into pgvector. With pgvector-remote, harnessing the power of a remote (Pinecone) index becomes as easy as utilizing ivfflat or hnsw. Why pgvector-remote? 1. Simplifies integration of memory-intensive vector indexes like Pinecone into standard database servers. 2. Addresses critical feature gaps in pgvector, such as metadata filtering for AI applications. 3. Hides the complexity of maintaining and…
2024 · medium.com · its alternatives →
13
A fast HNSW implementation in Rust▲111
HNSW implementation in Rust. Reference: https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf - swapneel/hnsw-rust
2024 · github.com · its alternatives →
14
pg_flame – flamegraph visualizations of PostgreSQL query plans▲321
A flamegraph generator for Postgres EXPLAIN ANALYZE output. - mgartner/pg_flame
2019 · github.com · its alternatives →
15
EdgeVec – Sub-millisecond vector search in the browser (Rust/WASM)▲7
Hi HN, I built EdgeVec, a vector database that runs entirely in the browser. It implements HNSW (Hierarchical Navigable Small World) graphs for approximate nearest neighbor search. Performance: - Sub-millisecond search at 100k vectors (768 dimensions, k=10) - 148 KB gzipped bundle - 3.6x memory reduction with scalar quantization Use cases: browser extensions with semantic search, local-first apps, privacy-preserving RAG. Technical: Written in Rust, compiled to WASM. Uses AVX2 SIMD on native, simd128 on WASM. IndexedDB for browser persistence. npm:…
Dec 2025 · github.com · its alternatives →
16
Victor, a browser-optimized vector database written in Rust▲27
Hey HN, My friend Sam and I were bored one weekend, and wanted to make something self-contained but still useful. We ended up with Victor [0], a vector database designed to run in the browser. It’s written in Rust, which gives us access to things like super-fast and compact serialization and deserialization, but it’s compiled to WASM and uses web-sys to interact with the browser’s JS APIs to write the database contents to disk. We worked hard on designing it in a way that makes sense for the browser. It uses the private origin file system [1] and stores the vectors in a compact format (one…
2023 · github.com · its alternatives →
17
Pg_replicate – Build Postgres replication applications in Rust▲216
A high-performance Postgres replication engine written in Rust. Embed it in your Rust application or run it as a standalone binary. - supabase/etl
2024 · github.com · its alternatives →
18
NanoVector – A 120KB zero-dependency vector search engine in C and SIMD▲10
The SQLite of Vector Search & Episodic Memory for AI Agents in ~120KB. Pure C99, AVX2+FMA, ARM NEON, FASM x64, zero dependencies. - eminsk/nanovector
Sep 2026 · github.com · its alternatives →
19AG
A GPU-accelerated binary vector index▲65
This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com · its alternatives →
20
cuTile Rust: Safe, data-race-free GPU kernels in Rust▲106
cuTile Rust provides a safe, tile-based kernel programming DSL for the Rust programming language. It features a safe host-side API for passing tensors to asynchronously executed kernel functions. - NVlabs/cutile-rs
Jun 2026 · github.com · its alternatives →
21
KiviDB, a faster Redis-compatible memory database and vector cache▲69
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in - kividbio/kividb
3d ago · github.com · its alternatives →
22T5
TensorBase: 5x~10000x Faster Drop-In/Accelerator for ClickHouse in Rust▲19
2021 · tensorbase.io · its alternatives →
23LA
Lantern – a PostgreSQL vector database for building AI applications▲196
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://github.com/lanterndata/lantern We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built on top of usearch — a state of the art implementation of HNSW, the most scalable and performant algorithm for handling vector search. There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding…
2023 · docs.lantern.dev · its alternatives →
24
Epsilla – Open-source vector database with low query latency▲111
Hey HN! We are building Epsilla (https://github.com/epsilla-cloud/vectordb), an open-source, self-hostable vector database for semantic similarity search that specializes in low query latency. When do we need a vector database? For example, GPT-3.5 has a 16k context window limit. If we want to let it answer a question about a 300 page book, we cannot put the whole book content into the context. We have to choose the sections of the book that are most relevant to the question. Vector database is specialized at ranking and picking the most relevant content from a large pool…
2023 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →