Couchbase vs RethinkDB: What are the differences?
What is Couchbase? Document-Oriented NoSQL Database. Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
What is RethinkDB? JSON. Scales to multiple machines with very little effort. Open source. RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
Couchbase and RethinkDB can be primarily classified as "Databases" tools.
Some of the features offered by Couchbase are:
- JSON document database
- N1QL (SQL-like query language)
- Secondary Indexing
On the other hand, RethinkDB provides the following key features:
- JSON data model and immediate consistency.
- Distributed joins, subqueries, aggregation, atomic updates.
- Secondary, compound, and arbitrarily computed indexes.
"Flexible data model, easy scalability, extremely fast" is the top reason why over 13 developers like Couchbase, while over 46 developers mention "Powerful query language" as the leading cause for choosing RethinkDB.
RethinkDB is an open source tool with 22.3K GitHub stars and 1.73K GitHub forks. Here's a link to RethinkDB's open source repository on GitHub.
According to the StackShare community, Couchbase has a broader approval, being mentioned in 45 company stacks & 20 developers stacks; compared to RethinkDB, which is listed in 37 company stacks and 25 developer stacks.
What is Couchbase?
What is RethinkDB?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to add, upvote and see more prosMake informed product decisions
What are the cons of using RethinkDB?
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
We initially chose RethinkDB because of the schema-less document store features, and better durability resilience/story than MongoDB In the end, it didn't work out quite as we expected: there's plenty of scalability issues, it's near impossible to run analytical workloads and small community makes working with Rethink a challenge. We're in process of migrating all our workloads to PostgreSQL and hopefully, we will be able to decommission our RethinkDB deployment soon.
We implemented our first large scale EPR application from naologic.com using CouchDB .
Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.
It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.
We use Couchbase heavily in our PowerStandings platform to enable real-time analytics of agent data, as well as data storage for parts of our new Playbooks product.
Main data storage. Any writes to Couchbase auto-replicate to Elasticsearch (via XDRC) and from there on propagate into the internal Jezebel pipeline via opes.
High-speed update-aware storage used in our region server infrastructure; provides a good middle layer for storage of rapidly modified information.
Main database, using it in multiple datacenters in an active-active configuration.