Thread by @tan_stack

🚀 TanStack DB 0.5 is here with Query-Driven Sync

Your component's query IS the API call. No custom endpoints. No GraphQL resolvers. Just write your query and DB figures out exactly what to fetch.

Details 🧵👇

React made components pure functions: UI = f(state)

TanStack DB brings the same philosophy to data: view = query(collections)

You describe what data you need. DB handles fetching, caching, and updating—even across massive datasets.

This query:

useLiveQuery(q =>
q.from({ todos })
.where(eq(status, 'active'))
)

Automatically becomes:

GET /api/todos?status=active

No backend changes needed. Your queries become the API.

0.5 adds 3 sync modes for different use cases:

- Eager: Load everything upfront (<10k rows)
- On-demand: Load only what queries need (>50k rows, search)
- Progressive: Load subset now, sync full dataset in background (collaborative apps)

Differential dataflow recomputes only what changed.

Mark a todo complete? Query results update in <1ms—even with 100k+ rows in memory.

No jitter. No loading states. Just instant updates.

Multiple components, same query? ONE network request.

Complex joins? Minimal batched requests.

Already-loaded rows? Reused automatically.

Fewer total requests than custom APIs, with better cache utilization.

First query: ~100ms with targeted network request
Meanwhile: Full dataset syncs in background After sync: ALL queries run in <1ms client-side

Fast first paint + instant everything else.

Designed for your existing REST, GraphQL, or tRPC APIs. No backend migration.

Bonus: Works with sync engines (@ElectricSQL , @trailbase_io , @powersync_) for real-time updates with near-zero incremental network cost.

@ElectricSQL @trailbase_io @powersync_ We're targeting 1.0 for December 2025.

npm install @tanstack/react-db@0.5.0

Try it and share feedback in Discord or GitHub!

@ElectricSQL @trailbase_io @powersync_ Blog post tanstack.com/blog/tanstack-…