Your state, your logic, your derived views, all in one transactional flow. No caches to invalidate. No cron to babysit. No drift to debug.
How It Works
Why ReifyDB
You should not need four systems to manage state that lives in one place. ReifyDB gives you transactions, incremental views, and programmable logic in a single engine.
Write state transactionally
Full ACID guarantees. If something goes wrong, it rolls back. No partial writes.
Validate and apply logic
Business rules run inside the same transaction, right next to the data.
Stay fresh automatically
Derived views update the moment the transaction commits. No polling, no stale data.
ACID core for live state
Your state stays consistent, even under contention. Serializable transactions with real rollback, not the best-effort scripts you are used to patching together.
Incremental derived views
Your views update the moment your data changes. No cron job to schedule, no polling loop to tune, no dashboard that is quietly three minutes behind.
Programmable transitions
Your validation and business rules run inside the transaction, right next to the data. Fewer round trips, fewer places for things to go wrong.
Native state primitives
Tables, counters, ring buffers, histograms, and views all live in one transactional core. Embed it in your app or run it as a server.
Use Cases
Built for Live Application State
If your application reads it, writes it, and reasons about it on every request, that is the state ReifyDB was built for.
Trading & Financial State
Positions, balances, order state. One bad write here can cost real money. ReifyDB makes sure that does not happen.
Workflow & Process State
Multi-step workflows, task queues, process coordination. No more duct-taping Redis, Postgres, and a cron job together.
Counters, Queues & Buffers
Counters, ring buffers, histograms, rate limiters. Built in, transactional, and ready to use. No external dependencies.
Replaces
What ReifyDB Replaces
You have probably duct-taped three or four systems together just to manage state. Here is what you can stop maintaining.
You know that moment when your cache says one thing and your database says another? That goes away. One store, one source of truth.
Your views update when your data changes, not whenever a cron job gets around to it. No polling, no refresh buttons, no stale numbers.
Stop scattering your state logic across microservices, workers, and cron jobs. Put it next to the data where it belongs.
Counters, queues, ring buffers, histograms. You do not need three systems and a pile of glue code. One engine, full transactional guarantees.
FAQ
Frequently Asked Questions
Honest answers to the questions engineers actually ask
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