🆚 Couchbase vs. Memcached

Type

Database technology
Database technology

About

Couchbase is a distributed NoSQL database that was created in 2011 as a fork of CouchDB and designed for high-performance, scalable applications using JSON data.

It combines a document store with key-value access, supports SQL++ queries with joins and ACID transactions, includes built-in services for full-text search, analytics, and event processing, and uses a memory-first architecture with managed caching, clustering, and cross data center replication for low-latency operations and high availability.

Memcached is an open-source event-based key-value store that keeps data in memory to deliver very low latency access and high throughput.

It can handle over 200,000 operations per second on fast hardware, uses multi-threading to leverage multiple CPU cores, and applies Least Recently Used cache eviction policy when it runs out of memory.

Headquarters

San Jose, California, United States

Website

Pricing

Free version ✔️Community Edition (limited concurrency and parallelism, no cross data center replication)
Capella
Free version ✔️
$0.15/hour per node
Enterprise$0.66+/hour per node
Free ✔️Open source

Categories

Databases › Rank #13
Databases › Rank #2

Popularity

Determined by the number of sites using each technology.

Memcached database technology is 329 times more popular than Couchbase.
Total websites

Market share

Databases

Popularity by country

Determined by the number of sites detected from each country.

Memcached is more popular than Couchbase in all countries.
United States
United Kingdom
India
Australia
Canada
Germany
France
Japan
Italy
Netherlands

Awards

Popularity by domain category

Determined by the number of sites in each category.

Memcached is more popular than Couchbase in all market segments.
Online Shopping
Fashion/Beauty
Marketing/Merchandising
Business
Blogs/Wiki
Entertainment
Sports
Education/Reference
Health
General News

Top sites

Top-ranked sites that use these technologies.

Name
Rank
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Name
Rank
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See also

🗃️ About This Data