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Supabase

Open-source Firebase alternative providing PostgreSQL database, authentication, real-time subscriptions, storage, and edge functions for modern app development.

Founded 2020 San Francisco, CA 51-200 employees Series C Updated Feb 2026

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Supabase Pros & Cons

Key strengths and limitations to consider, drafted by an AI model from public sources

Strengths

  • Firebase alternative with PostgreSQL
  • Real-time subscriptions built-in
  • Row-level security
  • Generous free tier

Limitations

  • Newer platform still maturing
  • Limited vs AWS/GCP at enterprise scale
  • Self-hosting can be complex

Ideal For

Who benefits most from Supabase, drafted by an AI model from public sources

Quick Analysis

Supabase is an open-source backend-as-a-service platform, competing with Firebase, AWS Amplify, and PlanetScale in the application backend space. Built on PostgreSQL, it provides a managed database, authentication, real-time subscriptions, object storage, edge functions, and auto-generated REST/GraphQL APIs — offering Firebase-like developer productivity with the power of a relational database.

Supabase's strength is its PostgreSQL foundation — developers get a real relational database with SQL, joins, transactions, and extensions (pgvector for AI, PostGIS for geospatial) while benefiting from Firebase-like convenience. It is ideal for startups and modern app teams who want rapid development without sacrificing data flexibility. Compared to Firebase (mature mobile SDKs, proprietary NoSQL), Supabase offers SQL and open-source freedom. Versus PlanetScale (MySQL-based, horizontal scaling), Supabase provides a broader feature set beyond the database.

Buyers should choose Supabase for new applications wanting PostgreSQL with a modern developer experience. The free tier is generous for prototyping. Consider Firebase for established mobile SDK needs, or AWS Amplify for teams deeply invested in AWS services.

1

Startups building MVPs quickly

2

Developers wanting Firebase alternative

3

Apps needing real-time features

4

Teams preferring PostgreSQL

Freemium

Pricing

Model

freemium

Starting Price

$25/month

The Free plan costs $0/month and includes two free projects, a 500 MB database per project, 50,000 MAU, 5 GB egress, 1 GB file storage and 500,000 Edge Function invocations; free projects pause after a period of inactivity.

Reliability (from Supabase’s status page)

78 / 100

worked out from the incidents Supabase declared

Outages per 30 days
0.8
5 in 180 days
Median time to resolve
1.1 h
Outage-free time (declared)
99.93%

Trend More, 1 outages in the earlier 90 days, 4 in the later · Degraded 256.4 h per 30 days, shown, not scored

Based on Supabase’s own status page, last 180 days · coverage 99% · as of 17 Oct 2026. Self-reported by the vendor, not measured uptime. How this is worked out

Key Features

  • Managed PostgreSQL with Row Level Security
  • Authentication with 20+ social providers
  • Real-time subscriptions via WebSockets
  • Object storage with CDN
  • Edge Functions for serverless compute
  • Auto-generated REST and GraphQL APIs
  • Database branching for development
  • pgvector for AI vector search

Popular Integrations

Tools Supabase is commonly connected to, collected by an AI model from public sources:

Next.js for frontend
Prisma for ORM
Stripe for payments
Vercel for deployment

Supabase is an open-source Backend-as-a-Service (BaaS) platform that provides developers with a ready-to-use backend for building modern web and mobile apps, acting as a powerful alternative to Firebase. Built on PostgreSQL, it offers a scalable relational database, integrated authentication, real-time data subscriptions, file storage, and serverless edge functions, all accessible through simple client libraries. It simplifies backend development by handling infrastructure, letting developers focus on building their app's features with tools for database management, user logins, and more.

Checked and not offered

One capability that other operational database tools are built around, which Supabase does not appear to cover. Each was checked against Supabase's own documentation in three separate AI passes, and only a majority verdict is recorded — the count is on each row.

A gap is not a fault — a product that does one job well is a reasonable thing to buy. It is only expensive when you find out after signing.

Cloud Data Warehouse 5 of 5 operational database tools have it

Checked the documentation index for a columnar analytics warehouse with warehouse-native compute.

Checked: https://supabase.com/docs· 2 of 3 passes agreed it is absent

Runs alongside, not instead of

8 tools that overlap Supabase on paper and were judged to do a different job in practice. Worth knowing before a consolidation exercise deletes one of them. These judgements were drafted by an AI model, and most were accepted on its confidence rather than checked one by one; the reason is recorded against each pair.

Supabase + Apache Kafka Kafka transports and retains event streams while Supabase stores and serves operational data. Supabase + AWS Kinesis Kinesis is built for high-throughput streaming ingestion and routing, while Supabase is an application database/storage platform, so they are more often integrated than consolidated. Supabase + Azure Blob Storage Azure Blob Storage is a general-purpose object store (often used for big-data/lake workloads) while Supabase is an application backend that happens to include an object-storage API, so teams commonly use both for different workloads. Supabase + Azure Event Hubs Azure Event Hub is for event stream ingestion and routing, whereas Supabase is an application database/storage layer that can consume those events but not replace the streaming bus. Supabase + Azure Synapse Supabase is primarily an operational Postgres backend for applications while Azure Synapse is an analytics warehouse/lakehouse environment, so they usually serve different workloads in the same data stack. Supabase + BigQuery BigQuery is typically the analytical warehouse while Supabase is typically the operational Postgres backend, so companies often use both with data flowing from Supabase into BigQuery. Supabase + ClickHouse Supabase is an operational application platform built around a transactional database, while ClickHouse is an OLAP analytics engine, so they typically coexist with analytics fed from the app data layer. Supabase + Databricks Databricks is typically the analytics/lakehouse layer while Supabase is typically the application’s operational database layer, so they are adjacent rather than interchangeable.

4 more pairs reviewed and judged complementary.

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