RethinkDB in under two minutes: see the highlights video.
RethinkDB is the first open-source, scalable JSON database built from the ground up for the realtime web. It inverts the traditional database architecture by exposing an exciting new access model – instead of polling for changes, the developer can tell RethinkDB to continuously push updated query results to applications in realtime. RethinkDB’s realtime push architecture dramatically reduces the time and effort necessary to build scalable realtime apps.
In addition to being designed from the ground up for realtime apps, RethinkDB offers a flexible query language, intuitive operations and monitoring APIs, and is easy to setup and learn.
See the post Advancing the realtime web for more technical details on RethinkDB’s mission.
RethinkDB is a great choice when your applications could benefit from realtime feeds to your data.
The query-response database access model works well on the web because it maps directly to HTTP’s request-response. However, modern applications require sending data directly to the client in realtime. Use cases where companies benefited from RethinkDB’s realtime push architecture include:
For example, when a user changes the position of a button in a collaborative design app, the server has to notify other users that are simultaneously working on the same project. Web browsers support these use cases via WebSockets and long-lived HTTP connections, but adapting database systems to realtime needs still presents a huge engineering challenge.
RethinkDB is the first open-source, scalable database designed specifically to push data to applications in realtime. It dramatically reduces the time and effort necessary to build scalable realtime apps.
RethinkDB is being used in production by hundreds of technology startups, consulting studios, and Fortune 500 companies. Here are some example use cases:
RethinkDB has a vibrant community of over 100,000 developers, and hundreds of contributors from around the world.
Implementing efficient realtime push architecture required redesigning most database components, including the query execution engine, the distributed system, the caching subsystem, and the storage engine. Because the architecture affects every database component, RethinkDB has been implemented in C++ from scratch. RethinkDB was built over five years by a team of database experts with the help of hundreds of contributors from around the world.
Firstly, realtime sync APIs are cloud services and RethinkDB is an open-source project. While RethinkDB is available in the cloud via our partners at Compose.io and Amazon AWS, it can also be deployed in your own infrastructures without restrictions.
Secondly, realtime sync APIs are limited to syncing documents, while RethinkDB is a general purpose database system. In RethinkDB you can run arbitrary queries including table joins, subqueries, geospatial queries, aggregation, and map-reduce. Realtime sync services have much more limited querying capabilities.
Finally, realtime sync APIs are designed to be accessed directly from the browser. This makes it very easy to get basic apps up and running, but limits the flexibility as the app expands. RethinkDB is designed to be accessed from an application server, much like a traditional database. This requires slightly more setup code, but allows a lot of flexibility as the application becomes more sophisticated.
RethinkDB is based on a fundamentally different architecture from MongoDB. Instead of polling for changes, the developer can tell RethinkDB to continuously push updated query results in realtime. You can also write applications on top of RethinkDB using traditional query-response paradigm, and subscribe to realtime feeds later as you start adding realtime functionality to your app.
For example, here is how you query RethinkDB for a document:
And here is how you subscribe to a stream of updates from RethinkDB any time the document changes:
RethinkDB’s realtime architecture can be compared to MongoDB’s oplog, but offers a much higher level of abstraction. RethinkDB’s feeds integrate seamlessly with the query computation engine, and allow you to subscribe to changes on query results, not just raw replication data. This architecture dramatically reduces the time and effort necessary to build scalable realtime apps.
In addition to the realtime push architecture, RethinkDB offers a number of other advantages over MongoDB:
See a technical comparison of RethinkDB and MongoDB for an unbiased point-by-point overview. For a more conversational take, read @coffeemug’s biased but more personal take on what makes RethinkDB different.
Want to learn more about RethinkDB?
The changefeeds architecture is designed to enable each client to open multiple realtime feeds. Since modern web and mobile applications often have tens of thousands of concurrent clients, RethinkDB’s feeds are designed to be extremely scalable. You should be able to open thousands of concurrent active feeds on a single RethinkDB node, and scale to tens or hundreds of thousands of feeds across a RethinkDB cluster.
The RethinkDB server is written in C++ and runs on 32-bit and 64-bit Linux systems, as well as OS X 10.7 and above. Client drivers can run on any platform where their languages are supported.
We recommend RethinkDB servers have at least 2GB of RAM, but there are no other strict hardware requirements. RethinkDB has a custom caching engine and can run on low-memory nodes with large amounts of on-disk data, Amazon EC2 instances, etc. It also has specialized support for high-end hardware and does a great job on high-memory nodes with many cores, solid-state storage, and high-throughput network hardware.
Most write operations involving a single document in RethinkDB are guaranteed to be atomic. Operations that are not deterministic cannot update documents in an atomic fashion (such as random values, or values obtained as the result of a subquery). In addition, multiple documents are not updated atomically.
Reads run with the
read_mode option set to
single (the default) will normally never see stale data, but they may see changes from concurrent writes that have not been safely committed to disk yet. This is equivalent to SQL’s
READ UNCOMMITTED isolation level. Reads run with
read_mode set to
outdated may see stale data.
If your cluster experiences a netsplit, then the
single read mode can no longer make this guarantee: you might receive a response from the old primary, even though a new primary has been elected on the other side of the netsplit. Setting
majority guarantees no stale reads in this case as well, although reads will be slower. Read the Consistency guarantees documentation for more information.
Users never have to worry about sending queries to specific nodes. Connect your clients to any node in a cluster, and queries will be routed to the proper destination. Advanced queries such as joins and filters will be executed in parallel, with results recombined and streamed back to the client transparently. Everything happens automatically behind the scenes.
RethinkDB comes with strict write durability out of the box and is identical to traditional database systems in this respect. By default, no write is ever acknowledged until it’s safely committed to disk.
Want to speed up your write queries? Learn how to configure durability options.
By default, RethinkDB will collect anonymous usage statistics and report them to RethinkDB HQ when it checks for new versions of the server. The data it transmits are:
If the RethinkDB server is started with the
no-update-check option, these statistics will not be sent.
The RethinkDB server and client libraries are licensed under the Apache License v2.0.