Updated for 2026

MongoDBvsSupabase

Not sure which fits your workflow in 2026? Compare pricing, features, and trade-offs — then switch tools below to explore more options in this category.

Category
Tool A
Tool B

dev-database

MongoDB

MongoDB is a document-oriented database that stores BSON/JSON-like documents — strong for flexible schemas, change streams, and sharded clusters (self-host or Atlas).

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dev-database

Supabase

Supabase is an open-source BaaS platform launched in 2020 by Supabase Inc. It entered GA in 2024 and has become a top backend choice for the AI era and Vibe Coding. A Postgres-first platform with auth, storage, realtime, and vector capabilities—often seen as an open-source Firebase alternative.

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Basics

FeatureMongoDBSupabase
Released20162020
CompanyMongoDB, Inc.Supabase
CountryUnited StatesUnited States
Region / AvailabilitySelf-host / multi-cloudMulti-region (global)

Pricing comparison

PlanMongoDBSupabase
Modelopen-sourcefreemium
Free tierYesYes
Starts at$0/mo$25/mo
Plan 1Open Source: FreeFree: Free500 MB database size,1 GB file storage,Unlimited API requests,50,000 monthly active users
Plan 2MongoDB Atlas Free: FreeLimited to 512MB storage, primarily for learning purposes.Pro: $25/moFor production applications with the power to scale. 100 GB file storage,100,000 monthly active users,8 GB disk size per project
Plan 3MongoDB Atlas Flex: $30/moFor application development and testing, with on-demand burst capacity for unpredictable traffic. Limited to 5GB storeage.Team: $599/moDesigned for team collaboration, it adds features such as single sign-on, backup control, and industry authentication.
Plan 4MongoDB Atlas Dedicated: Starts at $57/moFor production applications with complex workloads. 10GB to 4TB storage, dedicated memory and CPU.

Feature checklist

FeatureMongoDBSupabase
Open Sourcehttps://github.com/mongodb/mongohttps://github.com/supabase/supabase
Self-host Option
ACIDDocument atomicity; multi-document ACID transactions (4.0+)Full ACID via underlying Postgres
Index SupportSingle, compound, text, geospatial, wildcard, and vector indexesPostgres indexes + pgvector / full-text options
ConcurrencyHigh concurrency for document workloads with wiredTiger lockingStrong MVCC concurrency from Postgres
ScalabilityNative horizontal sharding and replica setsManaged scale + read replicas; branching for previews
SQL Support
Postgres Compatible
Serverless Database
Vector Search
Realtime
Built-in Auth
Blob / File Storage
Edge Compatible
AI SQL / NL Query
AI Schema Assist
AI Agent / MCP
Team Collaboration
Use CaseFlexible document storage for product catalogs, content, and event-driven appsPostgres-backed BaaS with auth, storage, realtime, and vectors

Pros & cons

MongoDB

  • Document model flexibility
  • Strong Atlas developer tooling
  • Vector search and multi-cloud options
  • Not relational SQL
  • Cost management needs care at scale
  • Auth/storage not as turnkey as BaaS suites

Supabase

  • Full Postgres with rich SQL ecosystem
  • Auth, storage, realtime in one platform
  • Self-host or managed cloud
  • Operational complexity grows with scale
  • Edge latency depends on region choice
  • Not the lightest option for tiny apps

Dimension scores

Editorial 0–10 scores across shared dimensions — higher is better for that axis.

DimensionMongoDBSupabase
Capability
8.5
9.0
Privacy
6.0
8.5
Value
7.0
8.5
Depth
8.5
8.5
Ecosystem
9.0
9.0
DX
7.5
9.0
CapabilityPrivacyValueDepthEcosystemDX
  • MongoDB
  • Supabase

FAQ

Is MongoDB better than Supabase? (2026)

It depends on workflow. MongoDB emphasizes document database for flexible json-like data, rich indexing, and horizontal scale. Supabase emphasizes open-source firebase alternative built on postgres with auth, storage, and realtime. Use the feature checklist above for your stack.

Which use cases fit MongoDB vs Supabase?
  • MongoDB: Flexible document storage for product catalogs, content, and event-driven apps
  • Supabase: Postgres-backed BaaS with auth, storage, realtime, and vectors
What are the main differences between MongoDB and Supabase?
  • ACID: MongoDB (Document atomicity; multi-document ACID transactions (4.0+)) vs Supabase (Full ACID via underlying Postgres)
  • Index Support: MongoDB (Single, compound, text, geospatial, wildcard, and vector indexes) vs Supabase (Postgres indexes + pgvector / full-text options)
  • Concurrency: MongoDB (High concurrency for document workloads with wiredTiger locking) vs Supabase (Strong MVCC concurrency from Postgres)
  • Scalability: MongoDB (Native horizontal sharding and replica sets) vs Supabase (Managed scale + read replicas; branching for previews)
  • SQL Support: MongoDB (no) vs Supabase (yes)
How do MongoDB and Supabase compare on pricing?

MongoDB pricing overview:

  • Has a free tier
  • Pricing model: open source
  • Starting from ~$0/mo
  • Plan Open Source: Free
  • Plan MongoDB Atlas Free: Free
  • Plan MongoDB Atlas Flex: $30/mo

Supabase pricing overview:

  • Has a free tier
  • Pricing model: freemium
  • Starting from ~$25/mo
  • Plan Free: Free
  • Plan Pro: $25/mo
  • Plan Team: $599/mo

Always verify current prices on the vendor site before buying.

Do MongoDB and Supabase offer a free tier?
  • MongoDB: Has a free tier
  • Supabase: Has a free tier
Are MongoDB and Supabase open source?
  • MongoDB: yes
  • Supabase: yes
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Disclaimer:Not Financial or Investment Advice, Educational/Dev Tool Comparison Only. Information may change; always verify pricing on the vendor site before purchasing.