
VectorDBBench Leaderboard
Public benchmark leaderboard comparing vector database performance across multiple cloud and open-source solutions with standardized testing scenarios for production workloads.
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
- Visit the leaderboard at zilliz.com/vdbbench-leaderboard
- Filter by dataset, operation type, or specific databases
- Compare metrics across different configurations
- Download raw data for custom analysis
- 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
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Information
Websitezilliz.com
PublishedMar 25, 2026
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