myscale/vector-db-benchmark
Framework for benchmarking fully-managed vector databases
Measures throughput (queries per second) and cost-performance ratios across fully-managed vector database services, including filtered vector search workloads. The framework executes standardized workloads against cloud-hosted databases and aggregates results into comparative cost-per-100-QPS metrics. Built on extensible benchmarking infrastructure that supports adding new managed database providers through configurable client implementations.
No commits in the last 6 months.
Stars
80
Forks
19
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 24, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/myscale/vector-db-benchmark"
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...
prrao87/lancedb-study
Comparing LanceDB and Elasticsearch for full-text search and vector search performance