Managed MongoDB cloud service with built-in vector search on AWS, Azure, and GCP.
Best for: individuals & small teams
Best for: large enterprises
Best for: professional teams
MongoDB Atlas Vector Search is included with Atlas clusters. Free M0 tier for dev (shared, no vector at production scale). M2 starts at $9/month, M10 dedicated at $57/month. Serverless is pay-per-operation. The vector search is an Atlas add-on, not a standalone product.
M0 shared cluster. Vector search available for dev/testing but limited capacity. Suitable for prototyping RAG apps before committing to production.
Pay-per-operation serverless. Unpredictable costs at high query volume but zero idle cost. Good for bursty workloads.
M10+ starting at $57/month. Required for production vector search with performance guarantees. More cost-effective than running separate MongoDB + Pinecone at scale.
12% above the vector databases average
Best choice if you're already using MongoDB Atlas - adding vector search is essentially free overhead on existing clusters. Cheaper than adding a separate Pinecone instance if MongoDB is already your primary DB.
MongoDB teams adding vector search
Which plan fits you
Best choice if you're already using MongoDB Atlas - adding vector search is essentially free overhead on existing clusters. Cheaper than adding a separate Pinecone instance if MongoDB is already your primary DB.
List price covers the subscription. Total cost of ownership for MongoDB Atlas typically includes additional line items that don't appear on the pricing page.
Ask vendors for a total cost of ownership estimate before signing. Our methodology covers how we calculate verified list prices.
How does MongoDB Atlas pricing compare?
See how MongoDB Atlas's 3 pricing plans stack up against similar Vector Databases tools.