The rise of Deno-based compute in Postgres workflows

The unbundled database era and edge compute

The unbundled database era prioritizes compute engines that sit on top of commodity storage. Supabase Edge Functions reflect this shift by providing a Deno-based runtime for TypeScript logic. These functions allow developers to execute code close to the user, which reduces latency for tasks like webhook handling and custom APIs. In 2026, many teams use these functions to bridge the gap between a PostgreSQL database and mobile push services. For instance, a new row in a notification table can trigger an Edge Function to authenticate with Firebase and send a push notification via FCM. This workflow removes the need for a separate notification server.

To ensure these functions remain stable, developers must use the config.toml file to declare every endpoint. If a developer omits a function from this file, the deployment system treats the function as a temporary guest. This omission leads to functions vanishing from the dashboard or returning 401 Unauthorized errors during redeployment. The system defaults to verify_jwt = true for security. Developers must manually set verify_jwt = false for public endpoints like Stripe webhooks. Supabase Edge Functions experience cold starts between 50 and 300 milliseconds. In contrast, Firebase Cloud Functions run on Node.js and experience cold starts between 500 and 1000 milliseconds. This latency gap makes Supabase a faster option for latency-sensitive operations.

Comparing runtime performance and pricing volatility

Pricing volatility separates the two platforms. Supabase uses a predictable model where the Pro plan starts at $25 per month. This covers most early-stage products with usage-based overages for storage at $0.021/GB and egress at $0.09/GB. Firebase uses a pay-as-you-go Blaze plan that bills for every individual operation. This includes every document read, write, and delete. Firebase costs can become brutal and unpredictable at scale. One developer watched a Firebase bill jump from $1,200 to $30,000 per month after reaching 10 million users. Firebase costs grow with every interaction, making them hard to forecast.

Teams looking for scalability might also consider PlanetScale. PlanetScale uses Vitess to provide horizontal scale and manages schema changes through Git-style branching. However, PlanetScale removed its free tier in 2024, making it a more expensive choice for early-stage projects. Firebase provides a free Spark plan with 1GB of storage and 50,000 monthly active Authentication users. This plan requires no payment method.

Data portability and the decision to migrate

The decision to use a backend often depends on the complexity of the data. Supabase provides a relational experience using PostgreSQL. This allows for joins, foreign keys, and ACID transactions. Firebase relies on Firestore, a NoSQL database that organizes data into collections and documents. For mobile-first apps that require offline persistence and automatic conflict resolution, Firebase remains a strong choice. But teams that build their entire product on the flexible document model of Firebase often encounter significant difficulties when they suddenly require complex relational queries or advanced reporting capabilities during their Series A scaling phase because of the lack of joins. This difficulty forces a migration that can take one to three months to complete.

Firebase introduced Data Connect in 2024 to provide a SQL layer backed by Cloud SQL Postgres. While this adds a relational option, it remains a separate product from Firestore and lacks the deep integration found in Supabase. Data Connect is a way for Firebase to catch up, but Supabase provides a more coherent experience because all services, including Auth and Edge Functions, tie to the same PostgreSQL instance. This connection allows Row Level Security policies to reference the user ID directly.

Supabase provides open-source freedom because the entire stack runs on tools like GoTrue and PostgREST. You can self-host the full stack with Docker. Firebase is a proprietary Google service. Moving away from Firebase requires a complete rewrite of Security Rules and a conversion of the document data model. Supabase wins for web applications requiring relational data and predictable costs. Can a team avoid the migration costs of a NoSQL schema if they scale to millions of users?