GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
VectorDBBench is a benchmark tool for evaluating vector databases written in Python under the MIT license.
Good fit when
- When you need a comprehensive performance analysis of vector database solutions using Python
- For assessing cost-effectiveness of various vector databases
Avoid when
- If your evaluation framework requires languages other than Python or licenses other than MIT
- When benchmarking non-vector type databases, as VectorDBBench is specialized for vector databases
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Active (8d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Zilliz. Display-only - separate from trust and ranking.
- Company
- Zilliz·GitHub org profile·Jul 11, 2026
- Funding
- $60,000,000 (2022-08)·GraphCanon curated seed (public press)·Jul 11, 2026
- Commercial model
- Open core·GraphCanon curated seed·Jul 11, 2026
Install
pip install VectorDBBenchHow it fits your stack(13)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A benchmark tool written in Python to assess the performance and cost-effectiveness of various vector databases.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
pip install vectordb-benchSource link
Tags
README
Install Install vectordb bench with only PyMilvus Install the specific database client All the database client supported Optional database client install command pymilvus, zilliz cloud ( default ) qdrant pinecone weaviate elastic, aliyun elasticsearch pgvector, pgvectorscale, pgd...
For agents
This page has a .md twin and JSON over the API.