PostgreSQL vs Supabase
9 members list PostgreSQL, up 7 in the last 12 weeks
7 members list Supabase, up 7 in the last 12 weeks
How has interest in each changed?
Collected from public datasets outside Stackness, not from stacks on this site. A series both tools have shares one chart and one scale, because its unit is the same for both. Data sources
Mentions, monthly
PostgreSQL: Hacker News mentions: 2 mentions (2007) to 461 mentions (2026)
Supabase: Hacker News mentions: 8 mentions (2020) to 74 mentions (2026)
Imported from Hacker News mentions
Installs, monthly
PostgreSQL: Homebrew analytics installs: 32,672 installs (2026) to 22,325 installs (2026)
Supabase: Homebrew analytics installs: 5,855 installs (2026) to 3,773 installs (2026)
Imported from Homebrew analytics
Questions asked, monthly
PostgreSQL: Stack Exchange data explorer questions asked: 11 questions (2008) to 14 questions (2026)
Supabase: Stack Exchange data explorer questions asked: 2 questions (2020) to 1 question (2026)
Imported from Stack Exchange data explorer
Usage share, yearly
PostgreSQL: Stack Overflow developer survey usage share: 26.53 % of respondents (2017) to 56.86 % of respondents (2025)
Supabase: Stack Overflow developer survey usage share: 2.89 % of respondents (2023) to 6.1 % of respondents (2025)
Imported from Stack Overflow developer survey
Series only one of them has
Pageviews, monthly
PostgreSQL: Wikipedia pageviews: 32,055 views (2015) to 23,577 views (2026). Imported from Wikipedia pageviews.
Downloads, monthly
Supabase: npm downloads: 423 downloads (2020) to 128,659,895 downloads (2026). Imported from npm downloads.
Who uses both?
3 members list both PostgreSQL and Supabase.
No member has recorded moving from one to the other yet.
What do people pair them with?
Tools that members list in the same stack as each of them.
Only with PostgreSQL
Only with Supabase
How do they differ?
Supabase is built on PostgreSQL, so this is really a choice between running Postgres yourself and taking a platform around it. Every Supabase project is a Postgres database with authentication, storage, realtime subscriptions and generated APIs on top, which lets a small team ship a back end without writing one. Plain PostgreSQL, whether self-hosted or on a managed service, suits teams that already have their own API layer and want full control over extensions, versions and hosting. Because the data is ordinary Postgres either way, moving between the two with pg_dump is routine, which keeps the choice reversible.
Written by Sergei Gordeichuk,