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TanStack DB vs Zero vs LiveStore: Reactive Sync Engines 2026

TanStack DB, Zero, and LiveStore compared for local-first sync: query model, conflicts, server requirements, and adoption maturity.

·PkgPulse Team·
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TL;DR

TanStack DB is the safest 2026 pick if you want incremental, reactive client-side queries that compose with TanStack Query and run anywhere — minimal server-side commitment. Zero (from Rocicorp, the Replicache successor) is the strongest end-to-end story when you can adopt their server protocol and a Postgres backend. LiveStore is the right call for event-sourced, log-driven apps where you want SQLite-on-the-client with a deterministic mutation log. All three are part of the 2026 wave of "the client is no longer a dumb cache" — they treat your UI's data layer as a real reactive query engine, not a chain of useEffect hooks. Pick based on how much of your stack you're willing to rebuild around the sync engine.

Quick Verdict

TanStack DBZeroLiveStore
MakerTanStackRocicorpOvertone (Schickling et al.)
Local storeIn-memory + indexesSQLite (Wasm/native)SQLite (Wasm/native)
Query languageJS/TS query builderZQL (typed query DSL)SQL + reactive views
Conflict resolutionOptimistic + server reconciliationServer-authoritative + rebasesEvent log (CRDT-like)
Server requirementAny HTTP backendZero-cache server (Rocicorp)Sync server (open source)
Backend couplingLooseTight (Postgres + zero-cache)Tight (event log)
Adoption stageRC / 1.0 in 2026GABeta / 1.0

Key Takeaways

  • The new bar is incremental queries. All three deliver sub-millisecond reactive query updates by maintaining indexes/materialized views in the client, not by re-running queries against the network.
  • Server commitment is the deciding factor. TanStack DB asks for the least; Zero asks for the most. Adopt Zero only when you're willing to put zero-cache in your stack as a real component.
  • CRDT vs server-authoritative is a real philosophical split. LiveStore leans CRDT-like (event log, deterministic replay). Zero is server-authoritative (the server resolves; clients rebase). TanStack DB mostly delegates to your server's existing semantics.
  • TanStack Query is not going away. TanStack DB layers on top of TanStack Query in many setups; if you already use TanStack Query, the migration cost is the lowest of the three.

What Each One Actually Is

TanStack DB

Technically a "reactive client store with incremental views". You define collections, write JS-style queries with joins/where/order, and the engine maintains those query results incrementally as mutations come in. It does not prescribe how data gets to the server — you wire it up to your existing API, GraphQL endpoint, or tRPC v11 procedures.

import { createCollection, createQuery } from "@tanstack/db";

const todos = createCollection<Todo>("todos", {
  queryFn: () => fetch("/api/todos").then(r => r.json()),
});

const openTodos = createQuery({
  from: todos,
  where: (t) => !t.completed,
  orderBy: (t) => t.createdAt,
});

// In a React component, openTodos.subscribe() updates incrementally

The selling point is "I want my UI to feel local-first, but I don't want to throw out my REST API." It pairs naturally with TanStack Query for transport and cache invalidation.

Zero

Rocicorp's successor to Replicache. The bet is bigger: Zero ships its own query language (ZQL), its own server (zero-cache), and its own protocol. In return you get true sync semantics — a permission model that runs on the server, end-to-end query subscriptions, and rebase-on-conflict handling.

import { Zero } from "@rocicorp/zero";

const z = new Zero({
  userID: "user-42",
  server: "https://zero.example.com",
  schema, // generated from Postgres
});

const issues = z.query.issue
  .where("assigneeId", "=", "user-42")
  .orderBy("createdAt", "desc")
  .limit(50);

// `issues` is reactive — subscribe in React via useQuery(issues)

Zero is the most complete answer here, but you commit to Postgres, the zero-cache server, and Rocicorp's hosted or self-hosted infrastructure.

LiveStore

Built around an event-sourced model: every mutation is an event appended to a log; the client materializes views (SQLite tables) by replaying the log; the server is itself a log replicator. This makes time-travel, undo, and offline merging cleaner than a traditional CRUD model.

import { makeStore, defineEvents, sql } from "@livestore/livestore";

const events = defineEvents({
  todoCreated: { schema: { id: "string", text: "string" } },
  todoCompleted: { schema: { id: "string" } },
});

const store = await makeStore({
  events,
  materializers: {
    todoCreated: ({ id, text }) =>
      sql`INSERT INTO todos (id, text, completed) VALUES (${id}, ${text}, 0)`,
    todoCompleted: ({ id }) =>
      sql`UPDATE todos SET completed = 1 WHERE id = ${id}`,
  },
});

await store.commit(events.todoCreated({ id: "t1", text: "buy milk" }));
const open = await store.query(sql`SELECT * FROM todos WHERE completed = 0`);

You write SQL (or use the typed builder) against a real SQLite database that lives in the user's browser via sqlite-wasm. The mutation log is the source of truth; the table is a view.

Decision Map

If you...Pick
Already use TanStack Query and want incremental viewsTanStack DB
Want the most complete sync story and can adopt zero-cacheZero
Need event-sourced semantics or time-travelLiveStore
Have an existing REST API you can't rewriteTanStack DB
Are starting greenfield with PostgresZero
Need offline-first with deterministic mergeLiveStore
Need a hosted, "just works" sync provider todayConvex / InstantDB / ElectricSQL

Server Requirements: The Real Cost

This is where most architecture decisions land:

TanStack DBZeroLiveStore
Add a new server?No (use yours)Yes (zero-cache)Yes (sync server)
Backend protocolWhatever you haveZero-specificLiveStore-specific
Permission layerIn your existing APIIn zero-cache configIn materializer / replication
Postgres requiredNoEffectively yesNo

Zero's zero-cache is the most opinionated component. You run it next to your Postgres, it tails replication, and it serves filtered query subscriptions to clients. This is power and operational complexity.

Conflict Resolution Models

  • TanStack DB: optimistic mutations + server reconciliation. If the server rejects, your client rolls back. Simple, but means the server is still the source of truth for conflicts.
  • Zero: server-authoritative with client-side rebase. Clients optimistically apply, the server resolves, the client rebases on top of the canonical history. Closer to git semantics.
  • LiveStore: event-sourced. Conflicts are resolved by event ordering rules and materializer determinism. The mental model is closer to CRDTs without committing to a CRDT library.

For broader local-first context (and database engines that pair with these), see PGlite vs ElectricSQL vs Triplit.

Who Should Pick What

  • Existing React app with TanStack Query: TanStack DB. The migration is incremental and your server stack is untouched.
  • Greenfield collaborative app, Postgres-backed: Zero. The protocol/server cost is real but the result is the slickest sync story available in 2026.
  • Event-sourced app or one that needs replay/audit semantics: LiveStore. Don't try to retrofit event sourcing onto TanStack DB; you'll fight the model.
  • Production-critical data-sync need today: a hosted option (Convex, InstantDB) is still the safer pick for non-experimental teams in early 2026.

Verdict

TanStack DB is the lowest-risk 2026 entry into incremental client-side queries — no new server, no new protocol. Zero is the most ambitious and the most complete; treat it as a multi-quarter platform commitment. LiveStore is a niche-but-deep choice for event-sourced apps. The category is moving fast: re-evaluate before any greenfield commitment because GA timelines and hosted offerings continue to shift through 2026.

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