Vector DB (Pinecone vs. Qdrant vs. Milvus) Solver

Underwrite millions of high-dimensional embedding vectors, index memory footprints, p99 search latency, read throughput QPS, and cloud vector database bills.

Vector Count & Dimensions

Total Vector Embeddings Stored (Millions - e.g. 15M)

Embedding Vector Dimensions (e.g. 1536 OpenAI / 768 / 3072)

Monthly Search Query Requests (Millions)

Monthly Vector Database Bills

Pinecone Serverless Monthly Spend

$368.50 / mo

Self-Hosted Qdrant / Milvus on AWS EC2 Spend

$184.20 / mo

Architectural Cost Winner

Self-Hosted Qdrant Saves $184.30/mo (-50.0%)