---
title: "HappyTeams unlocks better performance and reduces cost with Supabase"
description: "HappyTeams, a bootstrapped startup, needed its database to support thousands of users and continued feature development without consuming scarce technical resources. Its Heroku Postgres deployment had developed scaling problems, including sluggish or uneven performance and limits on concurrent connections, prompting a database change during an application rebuild in early 2022. The company migrated to Supabase in less than an hour using pg_dump and pg_restore, and adopted PgBouncer for connection pooling; it selected the service for performance, connection flexibility, support and documentation, onboarding, and lower costs. The source reports that Supabase removed the performance issue, made pooling effortless, and helped HappyTeams release features faster, including a comments feature completed in two days, while the company considered expanding into Edge Functions and the API client."
---

# HappyTeams unlocks better performance and reduces cost with Supabase

[Supabase](https://yomu.fyi/company/supabase) · Feb 16, 2023

**Type:** Problem & solution

## Summary

HappyTeams, a bootstrapped startup, needed its database to support thousands of users and continued feature development without consuming scarce technical resources. Its Heroku Postgres deployment had developed scaling problems, including sluggish or uneven performance and limits on concurrent connections, prompting a database change during an application rebuild in early 2022. The company migrated to Supabase in less than an hour using pg\_dump and pg\_restore, and adopted PgBouncer for connection pooling; it selected the service for performance, connection flexibility, support and documentation, onboarding, and lower costs. The source reports that Supabase removed the performance issue, made pooling effortless, and helped HappyTeams release features faster, including a comments feature completed in two days, while the company considered expanding into Edge Functions and the API client.

## Context

HappyTeams was growing while operating with scarce technical resources. Its Heroku Postgres deployment experienced scaling issues, database slowness, uneven performance, and limits on concurrent connections as the company worked to support thousands of users, ship features, and build integrations.

## Approach / What changed

During an application overhaul in early 2022, HappyTeams migrated from Heroku Postgres to Supabase in less than an hour using pg\_dump and pg\_restore. The team used PgBouncer for connection pooling and chose Supabase based on performance, support, documentation, onboarding, flexible connection capacity, and lower costs.

## Takeaways

- HappyTeams completed its database migration from Heroku Postgres to Supabase in less than an hour with pg\_dump and pg\_restore.
- PgBouncer connection pooling addressed HappyTeams's recurring database connection-limit problem.
- After the migration, HappyTeams reported faster performance and completed a comments feature in two days.

**Tags:** [Migrations](https://yomu.fyi/topic/migration), [Performance](https://yomu.fyi/topic/performance), [Postgres](https://yomu.fyi/topic/postgres), [Scalability](https://yomu.fyi/topic/scalability)

- Source: [Supabase](https://supabase.com/blog/case-study-happyteams)
- Source URL: https://supabase.com/blog/case-study-happyteams
- Ingested by Yomu: 2026-08-29T01:16:31.277Z

[Read original post](https://supabase.com/blog/case-study-happyteams)