HelixDB
by HelixDB · Graph-vector database for AI memory, RAG and knowledge graphs
BenchRank score
Screenshots of HelixDB
Homepage
Overview
HelixDB combines knowledge graphs, vector search, temporal data and full-text search in a single Rust engine, aimed at agent memory, RAG and company knowledge bases. Helix Cloud runs it on object storage, with a gateway in front of one writer node and multiple cached reader nodes that scale with load.
- Best for
- Teams building agent memory, GraphRAG or company-wide knowledge search on one graph-vector store.
- Pricing
- The captured text shows no prices; the homepage only points to a separate pricing.md page.
- Runs on
- WebCLI
Strengths and trade-offs
Strengths
- Graph, vector, temporal and full-text search in one Rust engine
- Type-safe traversals from Rust, Go, TypeScript and Python
- Reader nodes scale up under load and back down when demand drops
- Cloud deployment stores graph and vector data on object storage
Trade-offs
- Production high availability needs at least 3 gateways and 3 DB nodes
- Smaller clusters run in Dev mode and are not recommended for production
- No prices on the homepage; pricing sits on a separate pricing.md page
Pricing
Published plans and prices from HelixDB’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The HelixDB pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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