Observed Signal · Jun 22, 2026 · Migration Guide · Source: DEV Community · Impact: 2/5 · Sentiment: Neutral
Developers Switch from Firebase to Supabase
A developer-published guide (originally on iloveblogs.blog, republished on dev.to) argues that many developers are migrating from Google’s Firebase to Supabase in 2026. The article lists four main drivers: unpredictable per-read Firestore pricing, NoSQL query limitations, vendor lock-in with Firebase, and better server-side/Next.js support from Supabase. It provides concrete migration steps including mapping Firestore collections to PostgreSQL tables, migrating Firebase Auth users to Supabase Auth, exporting data with scripts and pg_dump, updating application code to Supabase SDK calls, and replacing Firebase services with Supabase equivalents. The post includes SQL and TypeScript examples, a suggested two-week migration timeline for mid-sized apps, and claimed outcomes such as lower monthly costs (60–80% savings), improved developer velocity, and data portability because Supabase is open-source and self-hostable.
Platform choice and data portability affect developers building web and martech products; migration guidance and cost comparisons can influence infrastructure decisions but this is not industry-shifting.
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Key Takeaways & Evidence Grounding
- Article published 2026-06-22.
- Author lists four reasons for migrating from Firebase to Supabase: pricing unpredictability, NoSQL limitations, vendor lock-in, and server-side rendering / Next.js compatibility.
- Claims Supabase Pro has a flat $25/month price (as presented in the article).
- Provides a step-by-step migration process: map Firestore to PostgreSQL, migrate auth users, migrate data with batch scripts, update app code, and replace Firebase services with Supabase equivalents.
- States Supabase is open-source and can be self-hosted with Docker; recommends using pg_dump to export/import PostgreSQL data.
Connected Companies & Entities
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Supabase Raises $500M Series F at $10B Valuation
Supabase, an open-source Postgres-based backend, has raised $150 million in a new funding round led by GIC, with participation from CapitalG, IronArc, and SquarePeg. This follows a $500 million Series F in June at a $10 billion pre-money valuation. The new round's valuation and the acquisition price for Turso, a SQLite-based database startup focused on AI agents, were undisclosed. Turso's founder, Glauber Costa, will join Supabase as Head of Agentic Services. The company reports over 13 million developers (up from nearly 10 million in June) and about 70% of new database creations are attributed to AI tools. Earlier this year, Supabase launched Multigres to simplify Postgres at scale.
Supabase Edge Functions: Deno on the Edge for Postgres
A hands-on review of Supabase Edge Functions based on five months and thirteen production deployments. The author praises the Deno runtime for enabling single-file TypeScript functions without build steps, and highlights the platform’s tight integration with Supabase services (pre-configured client, GoTrue auth, and database Row Level Security) as the primary differentiator vs Cloudflare Workers and AWS Lambda. Limitations include a 10-second execution timeout, 256 MB memory cap, lack of streaming responses, and cold-start latency for some npm packages via Deno’s compatibility layer—constraints that forced migration of batch and heavy workloads to AWS Lambda. The local development experience (supabase start) and improved dashboard logs are noted as strengths. The reviewer describes a simple decision framework: use Edge Functions for auth-proxied CRUD, storage triggers and webhooks; use Workers for global low-latency edge routing; and use Lambda for long-running or memory-intensive jobs.
Supabase Postgres Advanced Features Guide
This technical article explains advanced PostgreSQL patterns when using Supabase to improve performance and maintainability. It covers date-range table partitioning for log data and easy archiving, full-text search using tsvector with GIN and the pg_trgm extension for trigram/LIKE searches, and storing search vectors as generated columns. The piece also demonstrates using GENERATED columns to centralize business logic (e.g., price_incl_tax), trigger functions that call pg_notify for real-time events compatible with Supabase Realtime, and query debugging and tuning with EXPLAIN ANALYZE and ANALYZE. Example SQL and a Flutter client subscription snippet are included. Publication date: 2026-04-29.
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