When your app polls for data, it becomes slow, unscalable, and cumbersome to maintain. RethinkDB is the open-source, scalable database that makes building realtime apps dramatically easier.
RethinkDB is an open-source, scalable database specifically designed for the realtime web, allowing developers to build reactive applications with significantly less engineering effort.
The principal functionalities of this tool include:
Active Updates: Unlike traditional databases that require apps to poll for data, RethinkDB pushes JSON updates to applications in realtime.
Broad Use Cases: This functionality is ideal for building multiplayer games, reactive web and mobile apps (like collaborative editors), realtime marketplaces, and streaming analytics dashboards.
IoT Integration: It simplifies IoT infrastructures by streaming data between connected devices and triggering actions in millions of devices within milliseconds.
High Performance: The database features a state-of-the-art storage engine, a highly optimized buffer cache, and a modern distributed architecture.
Complex Query Support: It supports advanced database features including table joins, location-aware (geospatial) applications, and time-series data storage.
Analytics Tools: Developers can perform deep analytics using aggregation and map/reduce functions, supported by flexible indexing to speed up performance.
One-Click Scaling: Users can shard and replicate their data across a cluster in seconds using an intuitive web-based UI.
Precise Control: For advanced management, a simple API provides granular control over the cluster.
Live Monitoring: The system includes built-in tools to monitor production clusters with live statistics and complete visibility into running jobs.
Multi-Language Support: It allows querying JSON documents using Python, Ruby, Node.js, and dozens of other popular programming languages.
Flexible Stack: It pairs seamlessly with modern web frameworks and realtime technologies like Socket.io or SignalR.
Easy Deployment: RethinkDB can be installed in seconds on Linux, macOS, or DigitalOcean.