M4iKZ/Vector-Arena
A comprehensive, multiprocessing-isolated benchmark for evaluating vector database performance and quality. Measures insertion speed, search latency (diverse, sequential, filtered, and bulk), recall accuracy, and memory usage across standard (ChromaDB, LanceDB, Qdrant, FAISS, USearch) and custom engine implementations.
Stars
1
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/M4iKZ/Vector-Arena"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lancedb/lancedb
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
zilliztech/VectorDBBench
Benchmark for vector databases.
qdrant/vector-db-benchmark
Framework for benchmarking vector search engines
vector-index-bench/vibe
Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest...
myscale/vector-db-benchmark
Framework for benchmarking fully-managed vector databases