RethinkDB — The Real-Time Document Database

What it is

RethinkDB is an open-source document database designed for real-time applications. Unlike traditional databases where your application polls for changes, RethinkDB pushes updated query results to your application automatically using changefeeds.

Developers building live dashboards, collaborative editing tools, multiplayer features, or any application that needs instant data updates will benefit from RethinkDB's push-based architecture.

How it saves time or tokens

RethinkDB eliminates the polling pattern entirely. Instead of writing timer-based queries that check for updates every N seconds, you subscribe to a changefeed once and receive updates as they happen. This reduces both server load and application complexity. No more websocket middleware to bridge the gap between your database and your frontend.

How to use

1. Install RethinkDB from the official packages or run it via Docker.
2. Start the server and open the web admin UI at port 8080.
3. Create a database and tables using the Data Explorer or the client driver.
4. Subscribe to changefeeds in your application code.

import rethinkdb as r

conn = r.connect('localhost', 28015)
r.db('myapp').table('messages').changes().run(conn, callback=lambda change:
    print(f'New change: {change}')
)

Example

A real-time chat application with RethinkDB requires minimal code. Insert a message into the messages table, and every connected client subscribed to the changefeed receives it instantly:

// Node.js client subscribing to changes
const r = require('rethinkdb');
const conn = await r.connect({ host: 'localhost', port: 28015 });
r.db('chat').table('messages').changes().run(conn, (err, cursor) => {
  cursor.each((err, change) => console.log('New message:', change.new_val));
});

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Common pitfalls

• RethinkDB's community maintenance status means fewer frequent releases. Evaluate long-term support needs.
• Changefeeds consume server resources proportional to the number of subscriptions. Monitor connection counts.
• The ReQL query language has a learning curve if you come from SQL or MongoDB backgrounds.