Pylon vs. InstantDB

Instant Cloud is shutting down. Signups are closed, hosted apps stop on August 31, 2027, and the team has joined OpenAI — Instant stays open source but unmaintained, so your options are self-hosting a Clojure/JVM stack or moving. InstantDB and Pylon both center on local-first, optimistic sync; Pylon adds server functions, policies, SSR, and a managed cloud in one binary. Step-by-step move: docs.pylonsync.com/migrate/instantdb.

TL;DR
Choose InstantDB if…

You want the purest client-side local-first DX, you like the InstaQL graph query language, your backend logic is light enough to live in permission rules and the client, and you have the operations appetite to self-host an unmaintained JVM + Postgres 16 stack now that the hosted option is ending.

Choose Pylon if…

You want server functions running in-process with your data, deny-by-default row-level policies, native React SSR, faceted search, or to self-host the whole thing as a single binary.

Architecture at a glance

PylonInstantDB
ShapeFull-stack frameworkClient-leaning realtime DB
Server logicIn-process query / mutation / actionRules + client; lighter server surface
SchemaTypeScript entity()Typed schema + InstaQL graph queries
Access controlRow-level policies, deny-by-defaultPermission rules
Native SSRYes — React in the same binaryClient-first; pair a renderer
Self-hostOne binary on any Linux boxClojure/JVM + Postgres 16, unmaintained
SearchFull-text + facets built-inQuery the graph yourself

What both ship

  • Local-first, optimistic writes that reconcile in the background
  • Instant reactive queries over a live connection
  • Typed schema as code
  • Built-in auth and access rules
  • Offline-capable clients
  • React SDK
  • Managed cloud option (Instant's ends August 31, 2027)

Where InstantDB wins

InstaQL graph queries

InstantDB's query language fetches deeply nested relational data in one declarative shape. Pylon has nested-relation reads via queryGraph, but InstaQL's graph DSL is more expressive for deeply nested, graph-shaped reads.

Client-first simplicity

For apps whose logic lives on the client, InstantDB keeps setup small by putting schema, permissions, and queries mostly in the frontend.

Focused surface area

InstantDB focuses on relational sync. Its smaller surface is easier to learn than a full framework when that is all you need.

Where Pylon wins

Real server functions

Pylon runs query / mutation / action in-process with ctx.db, ctx.auth, and validators. Payments, third-party calls, and privileged writes have a server-side home that shares a transaction with your data.

Row-level policies, deny-by-default

Row-level access rules live next to the schema and run on the hot path of every read and write, including sync subscriptions. Unguarded entities are default-denied; a linter flags them at dev startup.

Native React SSR

Server-render your frontend from the same binary with file routing, <Link>, <Image>, metadata, streaming, and ISR. InstantDB is client-first and leaves rendering to you.

Faceted search in the box

Add search: to an entity for full-text hits + live facet counts, and field.vector for built-in vector search — same binary. Deferred work runs through ctx.scheduler; multi-step durable workflows through ctx.workflows.

Self-host as one binary

Run the whole stack on a VPS you control, or on Smallware. Instant's own self-host path is a Clojure/JVM server on Postgres 16 plus a reverse proxy and an email provider, and its cloud stops on August 31, 2027.

A first-class Swift engine

The full sync engine runs natively in Swift and stays at parity with the web client on iOS and Mac.

Moving from InstantDB

InstantDBPylon
InstantDB schemaentity() definitions in TypeScript
Permission rulespolicy() with boolean expressions
useQuery / InstaQLdb.useQuery("Entity", { where })
transact / txmutation / action in functions/*.ts
InstantDB authMagic-link / OAuth / OIDC
Client-side logicMove privileged logic into server functions
The honest take

For client-only apps that need InstaQL graph queries and frontend-defined permissions, InstantDB is leaner to adopt and more expressive for nested relational reads. Pylon adds surface area when you do not need server functions, SSR, or self-hosting.

Try Pylon for yourself.

Scaffold a full-stack app in seconds and deploy free on Cloud.

$npm create @pylonsync/pylon@latest