VectorDBBench
Category: Benchmarks & Evaluation
Source: https://zilliz.com/benchmark
Description
VectorDBBench is a benchmarking tool developed by ZillizTech, designed to evaluate and compare the performance and cost-effectiveness of various mainstream vector databases and cloud services. It provides unbiased benchmark results to help users select the most suitable vector database solutions for their needs.
Features
- Benchmarking for Vector Databases: Provides comparative performance and cost benchmarks for a wide range of vector databases and cloud services.
- Comprehensive Performance Metrics: Measures and ranks databases using key metrics such as Queries Per Second (QPS), P99 Latency, and Recall (accuracy).
- Cost-Effectiveness Evaluation: Includes cost ranking tables that detail the cost-performance ratio and estimate cost per million queries.
- Reproducible Results: Designed for ease of use, enabling both professionals and non-professionals to reproduce tests and benchmark results.
- Comparison Tables: Offers detailed ranking tables for QPS (throughput), P99 latency (response speed), and cost, with breakdowns by database, hardware configuration, and test scenario.
- Multiple Test Scenarios: Supports various filter settings and query scenarios, including tests with different AI models (e.g., OpenAI, Cohere) and filter conditions (none, low, high).
- Open-Source and Cloud Database Coverage: Benchmarks include both open-source and cloud-hosted vector databases.
- Transparent Scoring Rule: Comprehensive scoring system for fair comparison, with scoring rules available for review.
- User-Friendly Interface: Designed to be accessible for users of all experience levels.
Pricing
No pricing information is provided for VectorDBBench itself; it is presented as a free benchmarking tool.
Tags
benchmark, performance, vector-databases, evaluation