Supabase Database

Name: Supabase Database
Brand: Supabase
Rating: 3.7 (94 reviews)

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Build in a weekend. Scale to millions.

Est 2020|Valuation $10.5B|Raised $1B

LinkedIn 114K|Website|Web traffic 39.3M|FTEs 350|HQ Singapore, Singapore

MarketsCloud Databases

01Competitive Landscape

Narrative analysis

Supabase vs Firebase - Pricing approach differs: Supabase uses tiered plans and per-project compute, while Firebase uses operation/service-based billing models. Firebase emphasizes a mature, globally distributed service with deep Google integration. - Supabase is generally chosen when SQL, relational modeling, and Postgres extensions are required; Firebase is chosen when integration with Google Cloud services and mobile-first SDKs is a priority. Supabase vs Neon - Neon focuses on serverless Postgres with branching and autoscaling; Supabase provides a broader backend-as-a-service with integrated Auth, Realtime, and Storage. - Organizations that only require a managed Postgres instance without additional BaaS features may prefer Neon. Supabase vs PlanetScale Postgres - PlanetScale emphasizes database-first workflows and production-grade operational features. Supabase differentiates by offering an integrated stack that includes Auth and client SDKs designed for rapid application development.

Market adoption signals

Press coverage and vendor statements indicate notable adoption metrics cited during fundraising and product coverage; these are directional signals rather than independently validated operational metrics.

	Supabase Database	Firebase (Firestore)	Neon (Postgres)
Starting Price	Free; published tiered starting pricing with additional per-project compute charges	Free entry tier; published pay-as-you-go pricing	Free tier; published usage-based starting pricing
Typical Fit	Development teams wanting Postgres + integrated backend primitives	Teams using the Google ecosystem and managed NoSQL for mobile-first workflows	Teams wanting serverless Postgres with branching/autoscaling and minimal platform coupling
Key Strength	Dedicated Postgres per project + RLS + integrated Auth/APIs/dashboard	Mature mobile SDK integration, managed global scaling, Google tooling	Scale-to-zero economics, branching workflows, serverless model
Key Weakness	Reported outage/support issues; pricing complexity; compliance gating; backup vs storage consistency nuances	Potential data model lock-in; cost unpredictability for heavy operations	Not a full BaaS bundle (does not include integrated Auth/Storage/Realtime by default)

01Competitive Landscape

Narrative analysis

Supabase vs Firebase

Pricing approach differs: Supabase uses tiered plans and per-project compute, while Firebase uses operation/service-based billing models. Firebase emphasizes a mature, globally distributed service with deep Google integration.
Supabase is generally chosen when SQL, relational modeling, and Postgres extensions are required; Firebase is chosen when integration with Google Cloud services and mobile-first SDKs is a priority.

Supabase vs Neon

Neon focuses on serverless Postgres with branching and autoscaling; Supabase provides a broader backend-as-a-service with integrated Auth, Realtime, and Storage.
Organizations that only require a managed Postgres instance without additional BaaS features may prefer Neon.

Supabase vs PlanetScale Postgres

PlanetScale emphasizes database-first workflows and production-grade operational features. Supabase differentiates by offering an integrated stack that includes Auth and client SDKs designed for rapid application development.

Market adoption signals

Press coverage and vendor statements indicate notable adoption metrics cited during fundraising and product coverage; these are directional signals rather than independently validated operational metrics.

	Supabase Database	Firebase (Firestore)	Neon (Postgres)
Starting Price	Free; published tiered starting pricing with additional per-project compute charges	Free entry tier; published pay-as-you-go pricing	Free tier; published usage-based starting pricing
Typical Fit	Development teams wanting Postgres + integrated backend primitives	Teams using the Google ecosystem and managed NoSQL for mobile-first workflows	Teams wanting serverless Postgres with branching/autoscaling and minimal platform coupling
Key Strength	Dedicated Postgres per project + RLS + integrated Auth/APIs/dashboard	Mature mobile SDK integration, managed global scaling, Google tooling	Scale-to-zero economics, branching workflows, serverless model
Key Weakness	Reported outage/support issues; pricing complexity; compliance gating; backup vs storage consistency nuances	Potential data model lock-in; cost unpredictability for heavy operations	Not a full BaaS bundle (does not include integrated Auth/Storage/Realtime by default)