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HelixDB
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#4695 Radar 40

A scalable Rust-based graph-vector database for AI applications.

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Product memo

AI developers and enterprises building graph applications use HelixDB for scalable graph and vector data management. It handles custom agent memory and large-scale enterprise data with an architecture that leverages object storage for affordability. Auto-scaling readers manage dynamic loads, offering a specialized alternative to traditional databases.

For who

AI developers and enterprises building graph applications

Solves what

Scalable graph and vector data management for AI workflows

  • Infinitely scalable graph database
  • Native graph-vector storage
  • Built in Rust

In their own words

The Infinitely Scalable Graph Database

Build and grow any graph application with the most scalable graph-vector database, built in Rust.

Commercial cues

Pricing snapshot free only pricing

Model

free only

Free tier

No

Trial

No

No public pricing tiers captured.

Pricing Strategy

HelixDB offers a free Developer tier, with Enterprise handled through custom pricing.

Key Tactics
  • Annual plans offer a discount, encouraging longer-term commitment.
  • Free Developer tier lowers testing friction.
  • Enterprise handles custom requirements.

Operator context

Operating setup

Founded

Feb 2026

HQ

United States

Platform

API

Audience

Developers

Market demand

HelixDB keyword demand

5 keywords

5 keywords
Upgrade to Starter

Market demand is Starter-tier market intelligence.

Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Complex Stack
About HelixDB Expand

HelixDB offers scalable graph and vector data management specifically for AI workflows. It targets AI developers and enterprises building complex graph applications, from custom AI agent memory to large-scale enterprise data products.

The product's architecture, built in Rust, leverages object storage for cost-effectiveness and includes auto-scaling readers to handle dynamic loads. This provides a specialized alternative to more general-purpose databases, focusing on the unique demands of AI-driven graph applications and offering a defined workflow for adoption through its tiered pricing structure.