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MongoDB Atlas Vector Search

the search nodes are billed separately, and nobody budgets for them

search nodes from $0.12 / hour, on top of your cluster#teams-already-on-atlas-w#vectors-belong-together

perfectly reasonable if you are already on atlas — with two traps: an sspl licence, and vector search billed as separate infrastructure most teams don't price in.

if your documents already live in atlas, keeping their embeddings in the same place removes a synchronisation problem that causes real bugs elsewhere. filtering through the aggregation pipeline is expressive, and hnsw with scalar and binary quantization is supported.

the cost surprise is the thing to lead with. vector search is not part of your cluster price — it requires dedicated search nodes billed at their own hourly rates, starting around twelve cents an hour for the smallest and rising steeply. teams price a modest cluster at well under a hundred dollars a month and discover vector search roughly triples it. this is the most commonly under-budgeted line item in the whole category.

the description above is ours, condensed from the ranking. pricing moves — check it on the vendor's own page before you rely on it.

pricing
search nodes from $0.12 / hour, on top of your cluster
our verdict

perfectly reasonable if you are already on atlas — with two traps: an sspl licence, and vector search billed as separate infrastructure most teams don't price in.

we researched this category against vendors' own pricing pages and licence files. that is where this line comes from — not from the vendor, and not from anything they paid for.

more vector databases

Cloudflare Vectorize

vector index that runs on workers, beside cloudflare's own inference

#serverless#workers

Marqo

search engine that generates and stores its own embeddings for you

#embeddings-included

Upstash Vector

serverless vector database billed per request, with an http api

#serverless#http-api

pgvector

we checked thisfree — PostgreSQL License

the correct default for most teams, and it quietly got good

#almost-everyone-start-he#migrate-on-a-measured-th#not-a-vendor-s-table