TL;DR
- Choose Nakama if you want a feature-complete game backend out of the box, you’re shipping a free-to-play mobile game with leaderboards / tournaments / IAP, and you have Go (or Lua / TS) game-server engineers.
- Choose Pylon if you want a single binary with both app data and game shards, your team is comfortable with Rust + TypeScript, and you don’t need every Nakama feature.
Architecture
Both are single-binary game backends with built-in user systems. The big architectural delta: Pylon treats app data as first-class declarative entities; Nakama treats it as typed JSON blobs in the Storage Engine. Different trade-offs.
Same shape
Both ship:- Tick-based authoritative match handlers
- Matchmaker with customizable algorithm
- Single self-hosted binary
- Built-in user accounts + sessions
- WebSocket realtime
- Notifications
- Friends + relationships
- Open source (Apache 2.0 / MIT-Apache)
Where Nakama is better
- Wider feature set for game-specific concerns:
- Leaderboards — complete with reset schedules, ranks, and authoritative submissions
- Tournaments — scheduled leaderboard-style competitions
- Parties — pre-match group formation
- Groups / clans — guild-like social systems with ranks
- In-app purchases — receipt validation for Apple and Google stores
- Notifications — persistent in-game notifications with read state
- Streams — pub/sub channels for game-specific topics
- Mature game-server patterns — written by Heroic Labs, used by Vela Games, PlayerUnknown Productions, and others
- Multi-language runtime — match handlers in Go, Lua, or TypeScript
- Console support — patterns for PlayStation, Xbox, Switch
- Distributed deployment — clustering and Heroic Cloud patterns for larger games
- Persistent storage engine — typed JSON with read/write permission per object
- Bigger team behind it — commercial company with paid support
Where Pylon is better
- Declarative app entities — Pylon’s schema is first-class. Nakama’s Storage Engine is typed JSON, which is flexible but doesn’t give you typed entities, relations, or live queries the same way.
- Live queries for UI — Nakama has the Storage Engine for persistent data and Streams for pub/sub; neither gives you “useQuery returns the live array” out of the box.
- Faceted search — Nakama has storage search, but not a built-in faceted full-text search API like Pylon’s
useSearch. - TypeScript functions tied to data — Pylon’s
mutation/actionshares a transaction with the entity write. Nakama’s TS runtime is game-backend code against the Storage Engine and realtime APIs. - Smaller dependency shape — Pylon can run with SQLite for small deployments. Nakama runs with an external database dependency.
- MIT/Apache and Apache 2.0 — Pylon’s runtime is MIT/Apache. Nakama core is Apache 2.0, with commercial cloud and ecosystem offerings available separately.
- Single-language story — Rust + TS for everything. Nakama is Go (server) + your choice (handlers) + SDK language; the runtime polyglot is a feature for some teams and a complexity tax for others.
Use case fit
Pricing
Nakama is open source — you self-host for free. Heroic Labs offers Heroic Cloud (managed Nakama) and Satori (managed analytics + experiments) as paid services. Pylon is open source — self-host for free. Pylon Cloud is managed-Pylon, usage-based. If you’re self-hosting either, the cost is your VPS. If you’re going managed, both have managed cloud options at different price points.Migrating from Nakama
The mental model translates with caveats:
The migration’s largest cost is rewriting features Pylon doesn’t have built-in: leaderboards, tournaments, IAP validation, advanced groups. For each one, you’d build the entity + a small action/function. Doable, not turnkey.