Supabase vs PocketBase vs Appwrite: Picking a Backend-as-a-Service in 2026
Codoric Team

Supabase vs PocketBase vs Appwrite: Picking a Backend-as-a-Service in 2026
Firebase isn't the only alternative worth weighing against Supabase. PocketBase and Appwrite solve overlapping problems - auth, database, storage, realtime - with meaningfully different architectures. The right pick depends heavily on project size and hosting constraints, more so than with the Supabase-vs-Firebase decision.
The architectural difference that drives everything else
- Supabase - Postgres + a set of services (Auth, Storage, Realtime, Edge Functions) built around it. Designed to scale from a hosted free tier up to production workloads with dedicated compute.
- PocketBase - a single Go binary embedding SQLite, with auth, a REST API, realtime subscriptions, and an admin UI all built in. Designed to be simple to self-host: one binary, one file-based database, no Docker required.
- Appwrite - a self-hosted (or Appwrite Cloud) platform running as a set of Docker containers, with a broader feature set (auth, database, storage, functions, messaging) aimed at teams wanting an open-source, self-hostable Firebase alternative with more built-in surface area than PocketBase.
That one architectural choice - Postgres vs SQLite vs a multi-container platform - determines almost everything else on this list.
Database model and query power
Supabase's Postgres foundation gives you the full relational feature set: complex joins, window functions, full-text search, materialized views, custom functions and triggers. This is the clearest differentiator versus the other two.
PocketBase's SQLite backing is genuinely capable for small-to-medium datasets and simple relational queries, but SQLite is a single-writer database by design - concurrent write-heavy workloads are where it shows its limits, and there's no equivalent to Postgres's function/trigger/materialized-view ecosystem.
Appwrite's database is document-oriented (similar in spirit to Firestore) rather than relational, with support for basic filtering and indexing but not SQL-level query flexibility. If the project needs real relational queries and reporting, this narrows the field to Supabase quickly.
Hosting model - this is often the deciding factor
- PocketBase is built for self-hosting first. A single binary you can run on the smallest VPS, with no external dependencies. This makes it genuinely attractive for side projects, internal tools, or budget-constrained early-stage products where "$5/month VPS" beats any hosted tier.
- Appwrite self-hosts via Docker Compose (multiple containers) or runs on Appwrite Cloud. More operational overhead than PocketBase to self-host, but more feature-complete out of the box.
- Supabase is primarily consumed as a hosted service (with a generous free tier), though it is fully open-source and self-hostable via Docker Compose if needed. Most teams use the hosted offering and self-host only for compliance or cost-at-scale reasons.
If the actual requirement is "cheapest possible self-hosted setup for a small project," PocketBase wins outright. If the requirement is "hosted, scalable, relational, minimal ops burden," Supabase wins outright. Appwrite sits in between - more built-in features than PocketBase, less relational power than Supabase.
Realtime and auth
All three support realtime subscriptions and standard auth flows (email/password, OAuth providers, magic links in Supabase's case). None of the three is dramatically ahead on baseline auth feature coverage - the differences show up in ecosystem maturity and documentation depth, where Supabase currently has the largest community and most third-party integration examples, simply by virtue of adoption.
Ecosystem and community size
This matters more in practice than most feature comparisons. Supabase has the largest ecosystem of the three - more Stack Overflow answers, more framework-specific integration guides (Next.js, SvelteKit, etc.), more third-party libraries. PocketBase and Appwrite both have active, growing communities, but troubleshooting an edge case is more likely to mean reading source code or asking in a Discord than finding an existing answer, simply due to smaller scale.
A decision framework
- Small side project or internal tool, want the cheapest possible self-hosted setup, data is simple/relational-lite: PocketBase.
- Want more built-in platform features than PocketBase (messaging, more granular permissions) and are comfortable running Docker containers: Appwrite.
- Need real relational queries, reporting, RLS-based authorization, and want the largest ecosystem/community for troubleshooting: Supabase.
- Building something that might need to scale meaningfully and want to avoid a re-architecture later: Supabase - Postgres headroom is hard to beat once the data model gets more complex than a single project anticipated at day one.
None of these are wrong choices for the right project - the mistake is picking based on marketing rather than matching the database model (relational vs document vs SQLite) to how complex your actual data relationships are going to get.
If you're evaluating these for a new project and want a second opinion on which fits your specific data model and scale expectations, that's a conversation worth having before you commit - book a call.