• Home
  • Categories
  • Tags
  • Pricing
  • Submit
    Decorative pattern
    1. Home
    2. Benchmarks & Evaluation
    3. VectorDBBench Leaderboard

    VectorDBBench Leaderboard

    Public benchmark leaderboard comparing vector database performance across multiple cloud and open-source solutions with standardized testing scenarios for production workloads.

    🌐Visit Website

    About this tool

    Overview

    VectorDBBench Leaderboard is the public-facing benchmark results platform that provides standardized performance comparisons of vector databases across diverse testing scenarios that closely mimic real-world production environments.

    Testing Scenarios

    The leaderboard includes results for:

    • Insertion Performance: Measuring write throughput and latency
    • Search Performance: Query latency and throughput at various scales
    • Filtered Search: Performance with metadata filtering
    • Recall Accuracy: Measuring search quality vs speed trade-offs
    • Cost Efficiency: Comparing total cost of ownership

    Datasets Used

    • SIFT (128-dimensional vectors)
    • GIST (960-dimensional vectors)
    • Cohere embeddings (768-dimensional)
    • OpenAI generated datasets
    • Real production scenario data

    Supported Databases

    Currently benchmarks 15 cases across 6+ clients including:

    • Milvus
    • Zilliz Cloud
    • Elasticsearch
    • Qdrant Cloud
    • Weaviate Cloud
    • PgVector
    • And more...

    Key Features

    • Reproducible Results: Open-source benchmarking tool allows reproduction
    • Production-Like Workloads: Realistic testing scenarios
    • Multi-Dimensional Comparison: Performance, cost, accuracy metrics
    • Regular Updates: Leaderboard updated with new databases and versions
    • Public Data: All results publicly accessible

    How to Use

    1. Visit the leaderboard at zilliz.com/vdbbench-leaderboard
    2. Filter by dataset, operation type, or specific databases
    3. Compare metrics across different configurations
    4. Download raw data for custom analysis
    5. Run benchmarks yourself using the open-source tool

    Tool Installation

    Install the benchmarking tool:

    pip install vectordb-bench
    init_bench
    

    Use Cases

    • Evaluating vector databases for new projects
    • Performance tuning and optimization guidance
    • Cost analysis for production deployments
    • Understanding trade-offs between accuracy and performance
    • Vendor selection and evaluation

    Sponsorship

    Sponsored by Zilliz but includes results from multiple vector database vendors and open-source solutions.

    Surveys

    Loading more......

    Information

    Websitezilliz.com
    PublishedMar 25, 2026

    Categories

    1 Item
    Benchmarks & Evaluation

    Tags

    4 Items
    #Benchmark#Performance#Testing#Comparison

    Similar Products

    6 result(s)
    ANN-Benchmarks

    A comprehensive benchmarking project that evaluates and compares implementations of approximate nearest neighbor algorithms. Provides standardized datasets and metrics for comparing ANN libraries including FAISS, HNSW, Annoy, and ScaNN.

    VectorDBBench

    Open-source vector database benchmarking tool testing databases across production-critical scenarios including static collection, filtering, and streaming cases with modern embedding model datasets.

    Billion-scale ANNS Benchmarks

    A benchmarking resource for evaluating approximate nearest neighbor search (ANNS) methods on billion-scale datasets, highly relevant for assessing the scalability of vector databases.

    MyScale's Vector Database Benchmark

    Benchmark results and tools by MyScale aimed at measuring the performance of vector databases in various search and retrieval tasks.

    Qdrant's Vector Database Benchmarks

    A set of benchmarks provided by Qdrant for evaluating vector databases, focusing on speed, scalability, and accuracy of vector search operations.

    VectorDBBench

    An open-source benchmarking tool from Zilliz for comparing vector database performance and cost-effectiveness. Provides an intuitive visual interface to reproduce results and test new systems with standardized metrics.

    Decorative pattern
    Built with
    Ever Works
    Ever Works

    Connect with us

    Stay Updated

    Get the latest updates and exclusive content delivered to your inbox.

    Product

    • Categories
    • Tags
    • Pricing
    • Help

    Clients

    • Sign In
    • Register
    • Forgot password?

    Company

    • About Us
    • Admin
    • Sitemap

    Resources

    • Blog
    • Submit
    • API Documentation
    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
    Copyright © 2025 Awesome Vector Databases. All rights reserved.·Terms of Service·Privacy Policy·Cookies