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⚡ aof-db

The embedded database that goes brrr.

Stupid-fast, append-only, zero-server storage you drop into your app and forget about.


63,400 writes/sec        1,340,000 point reads/sec        one fsync per batch

aof-db is a tiny, blazing-fast, in-process datastore. No daemon. No schema migrations. No 400 MB of dependencies. Just import it and start flooding it with data — it keeps up.

Why people can't shut up about it

  • 🏎️ Fast where it counts. Append-only + group-commit: one fsync per batch, not per record. Bigger batches get cheaper per item. Throughput goes up under load, not down.
  • 🪶 Featherweight. In-process, near-zero footprint. Boots instantly, runs in memory, persists when you say so.
  • 🧷 Durable, not fragile. Every write is hash-chained and the log replays clean on open — crash-safe without the ceremony.
  • 🚀 Scales with your ambition. Same engine family as crypto-database — flip on the content-addressed DAG the day you need time-travel and tamper-evidence. Start fast, grow powerful.

Install (10 seconds, tops)

npm install aof-db     #  pip install aof-db     #  cargo add aof-db
import { NedbCore } from "aof-db";
const db = new NedbCore();
console.time("100k");
for (let i = 0; i < 100_000; i++) db.put("events", String(i), JSON.stringify({ t: Date.now(), i }));
db.flush();              // one durable group-commit for the whole burst
console.timeEnd("100k"); // …go on, time it.

Built for

Edge & embedded · high-throughput event logging · local-first apps · game state · CLIs · anywhere "just make it fast" beats "stand up a server."

Note: aof-db was previously published as nitrodb. The rename aligns the public package name with what it is — an append-only-file (AOF) fast-path distribution of NEDB. Same engine, same speed, new name.

If aof-db just saved your afternoon, ⭐ it and tell a friend.


aof-db is a distribution of the NEDB engine, tuned for speed + simplicity (benchmarks measured on commodity hardware — yours will vary). Engine development: Eth-Interchained/nedb. © Interchained LLC.

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2.8.2

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2.8.1

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2.5.45

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2.5.34

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2.4.68

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