VectorDBBench
PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and has been in the index since 26 Aug 2026. How this is checked
VectorDBBench is an open-source benchmark tool for comparing vector database systems across latency, throughput, recall, streaming performance, and cost. Developers and infrastructure teams can reproduce leaderboard results, validate configurations, and submit system reports.
Inferred · not functionally tested
Overview
6 featuresPurpose: Comparing vector databases consistently on performance, recall, latency, and operating cost.
Inferred · not functionally tested
Audience: developers and data infrastructure teams
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: WEB · deployment: browser, self_hosted, cli
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: zilliz.com · github.com · github.com. These links do not verify the individual claims.
VectorDBBench sits in PulseGate's Databases (SQL, NoSQL, vector, graph) category. Inferred · not functionally tested: It focuses on comparing vector databases consistently on performance, recall, latency, and operating cost. Inferred · not functionally tested: It is built as an open-source project for developers and data infrastructure teams. Basis unknown · not verified: VectorDBBench is open source under the MIT license. Basis unknown · not verified: It ships for the web and the command line, and it can be self-hosted.
Behind VectorDBBench is Zilliz, and it first shipped in 2023. The project is developed in the open on GitHub with 1.2k stars and 18 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are performance leaderboard, cost leaderboard, and latency measurement.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Performance leaderboard
- Cost leaderboard
- Latency measurement
- QPS measurement
- Recall evaluation
- Streaming benchmarks
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- x-nextjs-cache header · x-powered-by header · /_next/static/ in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed26 Aug · 15:52 UTCzilliztech/VectorDBBench seen via GitHub Search (Smart)Source: GitHub Search (Smart) · Open
Frequently asked questions about VectorDBBench
- What is VectorDBBench?
- Inferred · not functionally tested: VectorDBBench focuses on comparing vector databases consistently on performance, recall, latency, and operating cost. It is catalogued under Databases (SQL, NoSQL, vector, graph) on PulseGate.
- Who is VectorDBBench for?
- Inferred · not functionally tested: VectorDBBench is an open-source project built for developers and data infrastructure teams.
- Is VectorDBBench free?
- Basis unknown · not verified: Yes — VectorDBBench is open source under the MIT license and free to use.
- What platforms does VectorDBBench run on?
- Basis unknown · not verified: VectorDBBench runs on the web and the command line. It can also be self-hosted.
- Is VectorDBBench still maintained?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 18 commits in the last 90 days.
- Who makes VectorDBBench?
- VectorDBBench is developed by Zilliz.
- How long has VectorDBBench been around?
- VectorDBBench first shipped in 2023.
- Is VectorDBBench open source?
- Basis unknown · not verified: Yes — VectorDBBench is open source under the MIT license, developed on GitHub.
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