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494
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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.

Who uses Couchbase?

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

Developers
295 developers on StackShare have stated that they use Couchbase.

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.
Pros of Couchbase
18
High performance
17
Flexible data model, easy scalability, extremely fast
8
Mobile app support
6
You can query it with Ansi-92 SQL
5
All nodes can be read/write
4
Local cache capability
4
Open source, community and enterprise editions
4
Both a key-value store and document (JSON) db
4
Equal nodes in cluster, allowing fast, flexible changes
3
Automatic configuration of sharding
3
SDKs in popular programming languages
3
Elasticsearch connector
3
Easy setup
3
Web based management, query and monitoring panel
3
Linearly scalable, useful to large number of tps
3
Easy cluster administration
3
Cross data center replication
2
NoSQL
2
DBaaS available
2
Map reduce views
1
FTS + SQL together
1
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

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.

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Shared insights
on
CouchbaseCouchbase
at

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

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Ilias Mentzelos
Software Engineer at Plum Fintech · | 9 upvotes · 43.2K views
Shared insights
on
MongoDBMongoDBCouchbaseCouchbase

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!

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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

Couchbase's Followers
494 developers follow Couchbase to keep up with related blogs and decisions.