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helix-db

HelixDB/helix-db

OLTP graph-vector database built in Rust on Object Storage

GitHub Website

GraphCanon updated 1d · GitHub synced 1d

5.8k stars332 forksLast push 1d Rust Apache-2.0

Decision brief

HelixDB is an OLTP graph-vector database built with Rust and designed for object storage, integrating capabilities to manage both graph data and vector properties.

Good fit when

When you need a high-performance OLTP system that can handle both graph structures and vector embeddings concurrently.
If your project involves operations on cloud-stored datasets and benefits from the speed and performance offered by Rust.

Avoid when

Avoid if your use case strictly requires a NoSQL database with extensive support for multi-document transactions, as HelixDB focuses more on vector and graph data models.
Not suitable if your development environment or preferences do not allow reliance on object storage platforms which underpin its architecture.

Observed Jul 14, 2026 · Source: enrich:decision_facts

helix-db alternatives Trust report

helix-db vs qdrant helix-db vs mempalace helix-db vs matrixone

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of 1d
Provenance: Not a fork · Organization account; As of 1d
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

cargo add helix-db

crates.io

How it fits your stack(9)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

mempalace

Both tools serve as AI memory systems, with HelixDB providing a more integrated graph-vector approach while mempalace focuses on benchmarking and open-source performance.

alternative

qdrant

Both HelixDB and Qdrant are high-performance vector databases but approach the problem differently, with HelixDB focusing on graph-vector integration while Qdrant emphasizes massive scale.

alternative

pgvector

Both tools provide vector similarity search capabilities, though pgvector is integrated into PostgreSQL whereas HelixDB offers a more standalone graph-vector database solution in Rust.

alternative

Integrates

mindshub

Minds serves as an AI-driven task automation tool that can benefit from HelixDB's integrated graph-vector storage capabilities to manage context and memory for automated tasks.

integrates

graphiti

Graphitti builds real-time knowledge graphs for AI agents, which can leverage the storage and querying capabilities provided by HelixDB's integrated graph-vector database.

integrates

vearch

Distributed vector search for AI-native applications

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

AlternativeIntegratesRelated

AlternativeIntegratesRelated

Similar tools

Same-category neighbours not already linked as typed edges.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

HelixDB offers capabilities for managing and querying data with both graph and vector properties, providing tools to run local instances via CLI, and connect to Helix Cloud.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Aug 18, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Aug 18, 2026
Languages: rust
Source: github.language · Aug 18, 2026

README

1. Install the CLI

The Helix CLI runs and manages local instances and talks to Helix Cloud.

curl -sSL "https://install.helix-db.com" | bash

Already installed? Update to the latest version with helix update.

For agents

This page has a .md twin and JSON over the API.

/tools/helixdb-helix-db.md GET /api/graphcanon/tools/helixdb-helix-db GET /api/graphcanon/graph?tool=helixdb-helix-db

helix-db

Decision brief

Good fit when

Avoid when

Verify the decision

Maintenance and security

Install

How it fits your stack(9)

Alternative

Integrates

Related

Relationship graph

Similar tools

Evidence and technical details

Overview

Capability facts

Categories

Tags

README

1. Install the CLI

For agents