B2B SaaS Provider · vs · B2B SaaS Provider

Neon vs Supabase

Strukturierter Technologie- und Marktvergleich · Stand 2026

Direkte Merkmalsgegenüberstellung

Neon · vs · Supabase
Kern-Markt / Rolle
NeonB2B SaaS Provider
SupabaseB2B SaaS Provider
Profilfokus
Neon

Serverless-Postgres-Backend für Entwickler und KI-Anwendungen.

Supabase

Eine quelloffene Postgres-Backend-Plattform für Entwickler zur schnellen Erstellung und Skalierung moderner Anwendungen.

Mitarbeiter
Neon50–200 Mitarbeiter
Supabase201–500 Mitarbeiter
Hauptsitz
NeonUS
SupabaseSG
Gründung
Neon2021
Supabase2020

Vergleichsanalyse & Key Insights

Was ist der Hauptunterschied zwischen Neon und Supabase?

Beim Vergleich von Neon und Supabase agieren beide Plattformen im Bereich Cloud Data Warehouse / Data Lake und B2B SaaS Provider. Neon ist positioniert als Serverless-Postgres-Backend für Entwickler und KI-Anwendungen, während Supabase den Schwerpunkt auf Eine quelloffene Postgres-Backend-Plattform für Entwickler zur schnellen Erstellung und Skalierung moderner Anwendungen legt. Beide Anbieter stellen komplementäre wie auch konkurrierende Kernfähigkeiten für den Markt bereit.

Welche Alternativen gibt es zu Neon und Supabase?

Bei der Evaluierung von Neon und Supabase prüfen Enterprise-Entscheider häufig auch weitere Plattformen im Bereich Cloud Data Warehouse / Data Lake und B2B SaaS Provider. Die erweiterte Wettbewerbslandschaft und detaillierte Marktprofile findest du direkt auf Polaris7.

Echtzeit-Beobachtung

Aktuelle Marktsignale & News: Neon vs Supabase

Öffentlich erfasste Marktbewegungen, Partnerschaften, Produkt-Updates und strategische Ankündigungen aus dem Knowledge-Graphen.

Neon

Letzte Aktivitäten

  • ·Neon

    Claimable Neon: Provisioned by agents, claimed by humans

    Claimable Neon implements the anonymous registration method in auth.md, the open agent registration protocol authored by WorkOS, to give agents a way to provision a temporary Neon project without creating an account or collecting payment details.

  • ·DEV CommunityPlatform

    Build an MCP server with Air Pipe and Postgres

    A step-by-step technical guide showing how to build an MCP (model-calling protocol) server using Air Pipe and a Postgres database. The tutorial provides a schema (mcp_tenants, mcp_tokens, mcp_tasks), a single-file Air Pipe config exposing MCP tools (list_tasks, create_task), deployment instructions (managed or self-hosted), token minting (HS256 / SOLO_SECRET), verification via curl, and instructions to point MCP clients (e.g., Claude Desktop, Claude Code, Cursor) at the endpoint. It also covers multi-tenant token exchange, runtime revocation using a jti denylist, gating tool discovery with list_authorizer, observability (Prometheus/OpenTelemetry traces), known limitations, and links to ready-made packs (MCP Postgres Starter, MCP Quickstart).

    • Air Pipe provides a pack and config pattern to expose MCP tools over Postgres.
    • The tutorial defines three Postgres tables: mcp_tenants, mcp_tokens (revocation denylist), and mcp_tasks.
    • MCP clients referenced include Claude Desktop, Claude Code, and Cursor.

Supabase

Letzte Aktivitäten

  • ·Supabase

    Supabase is now available in Gemini Enterprise

    Connect Supabase to Gemini Enterprise and query your Supabase projects with natural language, right inside the platform.

  • ·The Product CompassInfrastructure

    Build SaaS Apps with Claude Code, Clerk, and Supabase

    This technical walkthrough guides product managers on how to build, secure, and monetize a full-stack B2B2C SaaS application using AI agents without writing code. Using a case study called AskOne—a live Q&A alternative to Slido—the tutorial details a universal, multi-step workflow. The process utilizes Anthropic's Claude Code to generate design layouts, establish design system tokens, and implement functional React components. The system integrates Clerk for user authentication and recurring subscription billing configuration, alongside Supabase as the backend database connected securely via Claude's Model Context Protocol (MCP) server framework.

    • The author developed Grok Build for VS Code, achieving over 105,000 installations and 37,000 monthly active users (MAU).
    • AI agents autonomously wrote 5,094 automated end-to-end integration and unit tests for the software in three months.
    • The workflow utilizes a recommended B2B stack consisting of Next.js, Clerk, and Supabase.
  • ·DEV CommunityInfrastructure

    Safely Drop All PostgreSQL Tables (2026)

    A technical how-to describing safe methods to drop all tables in a PostgreSQL database. The article shows a one-command reset (DROP SCHEMA public CASCADE; CREATE SCHEMA public; GRANT ...), explains PostgreSQL 15 default changes that revoke CREATE from PUBLIC and set public's owner to pg_database_owner (which can cause permission errors), and details Supabase-specific risks (Dropping public can remove Supabase-managed schemas and extensions). It gives variants to preserve extensions (reinstall extensions or drop tables only via a DO-block loop), recommends wrapping resets in transactions for local dev, and provides a production safety checklist: take backups, confirm connection, block connections, and restore from pg_dump/pg_restore rather than dropping schema in prod.

    • DROP SCHEMA public CASCADE removes the public schema and all dependent objects (tables, views, sequences, functions, triggers).
    • PostgreSQL 15 defaults: PUBLIC no longer has CREATE by default, and the owner of public is pg_database_owner, which can cause 'permission denied for schema public' after recreating the schema.
    • On Supabase, DROP SCHEMA public CASCADE can cascade into Supabase-managed schemas (auth, storage, realtime, graphql) and break the project; use 'supabase db reset' for dev and restore from backups for production.

Exakte Ökosystem-Überschneidungen vergleichen

Erkunde alle tiefen Marktbeziehungen in Polaris7. Entdecke gemeinsame Kunden, integrierte Technologien, SDK-Schnittstellen und überlappende Partner von Neon und Supabase im Markt-Ökosystem.