Calculadora
Estimador de costo Vector DB
Estima costo mensual basado en cantidad de vectores, dimensión y consultas por día.
Precios actualizados:
El AITOT Vector DB Cost Estimator compara coste mensual en 9 proveedores — Pinecone Serverless/Pod, Qdrant Cloud, Weaviate Cloud, Milvus Cloud, Supabase pgvector, Turso, Chroma Cloud, y self-hosted.
Plug en vector count (10k a 100M+), dimensión embedding (384 a 3072), y queries por día. La calculadora surface storage, query, e index overhead por separado.
Toggle binary quantization (soportada por Pinecone, Qdrant, Milvus) para ver 32× compresión storage con pérdida recall mínima. Vector 1536-dim comprime de 6KB a 192 bytes.
Más barato
Turbopuffer · Object-store backed
Tamaño indexado: 6.29 GB (Tamaño bruto: 5.72 GB)
$4.98
/mes
| Proveedor | Almacenamiento | Lecturas | Escrituras | Total / mes |
|---|---|---|---|---|
| TurbopufferObject-store backed S3-backed; cold reads slower but radically cheaper at scale | $0.25 | $4.50 | $0.22 | $4.98 |
| LanceDB CloudStandard | $0.69 | $6.00 | $0.30 | $6.99 |
| Zilliz / MilvusServerless 5M free vectors; pay-as-you-go above | $1.49 | $10.50 | $0.53 | $12.51 |
| Weaviate CloudServerless Serverless: per-million-vector + per-query | $0.32 | $7.50 | $0.38 | $25.00mínimo |
| Supabase pgvectorPro (8GB included) Bundled with Postgres compute; query cost folded into DB hours | $1.07 | — | — | $25.00mínimo |
| PineconeServerless (s1) us-east-1; reads billed in Read Units (1 RU ≈ 1 query × 1KB result). Standard plan $50/mo min usage. | $2.64 | $24.00 | $0.60 | $27.24 |
| MongoDB AtlasM10 + Vector Search Vector search included with Atlas tier | $2.00 | — | — | $57.00mínimo |
| Qdrant CloudHybrid Cloud (1×1GB) Per-node billing ~$76/node; small nodes hold ~30 GB indexed | $18.60 | — | — | $76.00mínimo |
| PineconePod (p1.x1) 1 pod ≈ 5M 768-dim vectors; scale by adding pods (~$70/pod-mo) | $112.15 | — | — | $112.15 |
El overhead de index y precios varían por región. Cuantización (int8/binary) intercambia recall por costo — siempre benchmark antes de desplegar.
Qué hace esta calculadora
9 vector DBs comparadas
Pinecone Serverless + Pod, Qdrant, Weaviate, Milvus, Supabase pgvector, Turso, Chroma, self-host.
Binary quantization
Toggle para ver 32× compresión storage en Pinecone, Qdrant, Milvus.
Escalado dimension
Ve cómo 1536 vs 3072 afecta storage + query cost.
Storage + query split
Costes split en index storage, query operations, metadata.
Break-even self-host
Compara managed con VPS $80/mes corriendo Qdrant o Milvus.
Hybrid + filter pricing
Incluye costes filter operation donde proveedores cobran separado.
Comparación rápida
Coste mensual en 10M × 1536-dim vectores, 100k queries/día
| Proveedor | Storage | Queries | Total / mes |
|---|---|---|---|
| Supabase pgvector (Pro) | incl. | incl. | $25 |
| Qdrant Cloud (basic) | $30 | $10 | $40 |
| Weaviate Serverless | $35 | $10 | $45 |
| Milvus Cloud (Starter) | $50 | $15 | $65 |
| Pinecone Serverless | $50 | $40 | $90 |
| Chroma Cloud | $70 | $20 | $90 |
| Pinecone Pod-based (s1) | $100 | $40 | $140 |
| Self-host en VPS $80 | $80 | incl. | $80 |
Costes bajan 60-80% con binary quantization donde soportada.
Cómo usar esta calculadora
Compara coste mensual en 9 vector databases para tu corpus y query volume.
- 1
Entra vector count
Multiplica documentos × chunks/doc. Típico: 1 doc = 5-20 chunks a 500 tokens.
- 2
Elige dimension
1536 default OpenAI. 3072 duplica storage; 768 lo divide.
- 3
Set query volume
Queries diarios. Caching reduce — la mayoría cachea 30-50%.
- 4
Toggle binary quant
En Pinecone, Qdrant, Milvus, binary quant corta storage 32×.
Por qué usar esta calculadora
- ✓9 proveedores trackeados mensualmente
- ✓Modelado binary quantization
- ✓Comparaciones self-host
- ✓Costes dimension + filter separados
- ✓Free tier limits surfaced
- ✓Sin login