Why developers like Couchbase

What is Couchbase?

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.

Couchbase is a tool in the Databases category of a tech stack.

Explore Couchbase's Story

Who uses Couchbase?

Companies

77 companies reportedly use Couchbase in their tech stacks, including Agoda, Oxylabs, and Trendyol Group.

Agoda

Oxylabs

Trendyol Group

Checkout.com

UNIQLO

Kaidee

Modanisa.com

QIWI

arivu.one

Developers

295 developers on StackShare have stated that they use Couchbase.

Java4us

Natue

SummitHMS

steakknife

analytics porject

My stack

JUCE Mobile

Tech Stack

My Stack

Couchbase Integrations

Kubernetes, Elasticsearch, Kafka, Datadog, and Apache Spark are some of the popular tools that integrate with Couchbase. Here's a list of all 19 tools that integrate with Couchbase.

Kubernetes

Elasticsearch

Kafka

Datadog

Apache Spark

Hadoop

Amazon EKS

Clever Cloud

Google Anthos

Pros of Couchbase

High performance

Flexible data model, easy scalability, extremely fast

Mobile app support

You can query it with Ansi-92 SQL

All nodes can be read/write

Local cache capability

Open source, community and enterprise editions

Both a key-value store and document (JSON) db

Equal nodes in cluster, allowing fast, flexible changes

Automatic configuration of sharding

SDKs in popular programming languages

Elasticsearch connector

Easy setup

Web based management, query and monitoring panel

Linearly scalable, useful to large number of tps

Easy cluster administration

Cross data center replication

NoSQL

DBaaS available

Map reduce views

FTS + SQL together

Buckets, Scopes, Collections & Documents

Decisions about Couchbase

Here are some stack decisions, common use cases and reviews by companies and developers who chose Couchbase in their tech stack.

Gabriel Pa

CEO at NaoLogic Inc · Jan 2, 2020 | 8 upvotes · 324K views

Shared insights

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.

Naologic: Increase revenue through better collaboration between employees, vendors and remote teams

Tom Pattison

Mar 16, 2020 | 2 upvotes · 8.5K views

Shared insights

Couchbase

Checkout-com

Couchbase Preferred as one of our in-memory NoSQL database options.

The latest in payments technology and company news | Checkout.com

Ilias Mentzelos

Software Engineer at Plum Fintech · Apr 14, 2021 | 9 upvotes · 43.2K views

Shared insights

MongoDB

Couchbase

Hey, we want to build a referral campaign mechanism that will probably contain millions of records within the next few years. We want fast read access based on IDs or some indexes, and isolation is crucial as some listeners will try to update the same document at the same time. What's your suggestion between Couchbase and MongoDB? Thanks!

See all decisions

Couchbase's Features

JSON document database
N1QL (SQL-like query language)
Secondary Indexing
Full-Text Indexing
Eventing/Triggers
Real-Time Analytics
Mobile Synchronization for offline support
Autonomous Operator for Kubernetes and OpenShift

Couchbase Alternatives & Comparisons

What are some alternatives to Couchbase?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

CouchDB

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Redis

Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.

HBase

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

See all alternatives

Related Comparisons