LanceDB over S3/R2 vs Pinecone Vector Slasher

Underwrite replacing expensive provisioned vector database pods with embedded LanceDB instances searching billion-scale vector embeddings directly from cheap cloud object storage.

Vector Dimensions & Legacy Spend

Total Vector Embeddings Stored (Millions - e.g. 50M)

Current Managed Pinecone / Qdrant Bill ($ / mo)

Cloud Spend Slashed & Query Latency

LanceDB on S3 Monthly Storage Spend

$37.50 / month (50M Embeddings in R2/S3)

Annual Managed Vector DB Spend Slashed

+$40,950 / yr Direct Cloud Savings

P95 Vector Similarity Search Latency

2.4 ms P95 (Columnar Lance Zero-Copy Search)