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COMPARE / VECTOR DATABASES

Vector databases, with the math.

Compare vector storage, index compute, and query costs for embeddings and AI search.

Managed cloud vector search indexes with cosine or dot-product similarity, metadata filtering, and standard index dimensions (384 to 1536 dims). High-availability production clusters or serverless units. Self-hosted deployments, on-prem clusters, and custom graph algorithms are excluded.
YOUR COMPARISON, YOUR CALL

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2 / 4 selected

Choose up to four products for a closer look. The full cost ranking stays below.

Showing 3 of 3 supported products. Find products for this comparison

Your workload

Monthly usage. Adjust the assumptions to match your product.

vectors

Total number of dense vector embeddings indexed and stored.

Maximum 100,000,000 vectors
queries / month

Similarity search and nearest neighbor query requests per month.

Maximum 100,000,000 queries / month
dimensions

Vector dimensionality (e.g. 1536 for OpenAI text-embedding-3-small, 768 for nomic).

Maximum 4,096 dimensions
Estimates are in USD before taxes. Your usage stays in this URL.
Capabilities:
Decision guideOne shared workload.
Different trade-offs.
Monthly equivalentUSD · before taxNot availableStandard ServerlessNot availableCloud Free Tier
Payment commitmentMonthlyMonthly
Fits this workload?Outside modeled limitsOutside modeled limits
What to know

Pinecone billing is not modeled. Standard has a $50 monthly minimum; usage depends on namespace size, read units, write units, storage, and egress.

Free-cluster eligibility is not modeled. Qdrant's RAM and disk limits cannot be verified from vector count alone; dimensions, metadata, and index configuration affect capacity.

Outside the estimate

This pricing model is not supported.

This pricing model is not supported.

EvidenceOfficial pricing ↗Checked 2026-10-08Official pricing ↗Checked 2026-10-08

Look ahead, before you commit.

Vary stored vectors. Keep all other inputs fixed.

Sampled growth costs
View exact values and assumptions

Each point follows your selected plan. Automatic choices use the lowest eligible supported plan per product. Missing values mean no supported plan fits. This varies one input, not all costs with customer count. Lines connect sampled estimates; prices between those points can change in steps or at plan limits.

Stored vectors
100,000 vectors
100,001 vectors
450,000 vectors
800,000 vectors
1,000,000 vectors
1,150,000 vectors
1,500,000 vectors
1,850,000 vectors
2,200,000 vectors
2,550,000 vectors
2,900,000 vectors
3,250,000 vectors
3,600,000 vectors
3,950,000 vectors
4,300,000 vectors
4,650,000 vectors
5,000,000 vectors
5,350,000 vectors
6,050,000 vectors
6,400,000 vectors
6,750,000 vectors
7,100,000 vectors
7,450,000 vectors
7,800,000 vectors
8,150,000 vectors
8,500,000 vectors
8,850,000 vectors
9,200,000 vectors
9,550,000 vectors
9,900,000 vectors
10,250,000 vectors
10,600,000 vectors
10,950,000 vectors
11,300,000 vectors
12,000,000 vectors

Your monthly comparison

1 eligible products in this loaded set · Lowest modeled cost first

USD / month equivalent
01
Cloudflare Vectorize Lowest estimate

Workers Paid + Vectorize

$28.30/ month equivalent
2 plans outside this workload
Pinecone · Standard Serverless

Pinecone billing is not modeled. Standard has a $50 monthly minimum; usage depends on namespace size, read units, write units, storage, and egress. Free-tier eligibility is not modeled. Pinecone limits storage, read units, and write units; vector and query counts alone cannot verify those limits.

Qdrant Cloud · Cloud Free Tier

Free-cluster eligibility is not modeled. Qdrant's RAM and disk limits cannot be verified from vector count alone; dimensions, metadata, and index configuration affect capacity. Managed cluster pricing is not modeled. Qdrant bills selected cloud resources and operating time; CPU, RAM, disk, region, and cluster configuration are required.

Prices reflect dated, supported plans. Matching a category does not mean matching features. How estimates work

2 products on your board · Same workload, clearer trade-offs.