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MongoDB Atlas vs Supabase

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both have one
Public API
Both have one
Best fit
MongoDB Atlas: Teams already on MongoDB adding RAG or semantic search · Supabase: Developers and vibe-coders who need a ready backend with auth for a web or mobile app
Trust score
About even — MongoDB Atlas 93, Supabase 93
Status
Both up at our last check (Oct 2, 2026)

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

MongoDB AtlasManaged MongoDB cloud database with built-in vector search, hybrid search and Voyage AI embeddings for RAG and agent apps.SupabaseOpen-source Postgres backend with auth, storage, realtime, edge functions and a pgvector toolkit for AI apps.

Side by side

FactMongoDB AtlasSupabase
CategoryVector Databases & RAGDatabases & Warehouses
Pricing modelFreemiumFreemium
Starts at—$25/mo
Public APIYesYes
Trust score93 / 10093 / 100
PlatformsWeb, APIWeb, API
CompanyMongoDB, Inc.Supabase
Launched20162020
Last verifiedOct 2, 2026Oct 2, 2026

What our research says

MongoDB Atlas

A sensible choice if your application data already lives in MongoDB and you want vector and hybrid search next to it instead of syncing into a second system. It is a general-purpose database first, so it makes less sense as a standalone vector store for a team with no MongoDB footprint.

Pros

  • Vector, lexical and hybrid search run next to the operational data
  • Free cluster and an hourly Flex tier capped at $30/month
  • Runs on AWS, Azure and Google Cloud, with self-managed editions
  • Search nodes let vector workloads scale separately from the database

Cons

  • Hourly metered pricing makes monthly cost hard to forecast
  • Cost grows quickly on Dedicated clusters compared with single-purpose vector stores
  • Newer pieces such as Atlas Infinite and Atlas Agent Engine are still in preview

Supabase

Supabase is a strong default for developers who want a real Postgres database with auth and storage included, and it is especially popular as the backend for AI-generated apps. The free tier is enough to build and demo. Watch the pausing of idle free projects and usage-based add-ons once you go to production.

Pros

  • Standard Postgres with auto-generated APIs and Row Level Security
  • Open source core that can be self-hosted
  • Auth, storage, realtime and functions in one project
  • Spend caps are on by default on the Pro plan

Cons

  • Free projects are paused after a week of inactivity
  • Pro costs are per organization and compute for additional projects is billed on top
  • Vector search at large scale is less specialised than a dedicated vector database

Which one fits

Choose MongoDB Atlas if you need

  • Teams already on MongoDB adding RAG or semantic search
  • Developers who want embeddings, search and operational data under one query language
  • Startups that want a free cluster before paying for dedicated hardware

Choose Supabase if you need

  • Developers and vibe-coders who need a ready backend with auth for a web or mobile app
  • AI apps that want embeddings stored beside application data in Postgres

MongoDB Atlas vs Supabase: the questions people ask

Is MongoDB Atlas cheaper than Supabase?

Supabase starts at $25/mo. MongoDB Atlas has a free tier; what its paid plans cost is not confirmed by us yet.

Does MongoDB Atlas or Supabase have a free tier?

Both: MongoDB Atlas has a free tier, and Supabase has a free tier.

Which has a public API, MongoDB Atlas or Supabase?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

More comparisons

All MongoDB Atlas alternatives →Browse all Vector Databases & RAG →