DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > CouchDB vs. Datomic vs. Google Cloud Datastore vs. PouchDB

System Properties Comparison CouchDB vs. Datomic vs. Google Cloud Datastore vs. PouchDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeRelational DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.37
Rank#34  Overall
#5  Document stores
Score1.98
Rank#111  Overall
#54  Relational DBMS
Score4.81
Rank#67  Overall
#12  Document stores
Score2.97
Rank#88  Overall
#16  Document stores
Websitecouchdb.apache.orgwww.datomic.comcloud.google.com/­datastorepouchdb.com
Technical documentationdocs.couchdb.org/­en/­stabledocs.datomic.comcloud.google.com/­datastore/­docspouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectGoogleApache Software Foundation
Initial release2005201220082012
Current release2.3.1, March 20190.9.5951, July 20197.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infolimited edition freecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJava, ClojureJavaScript
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes, details hereno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyes infovia viewsyesyesyes infovia views
SQL infoSupport of SQLnonoSQL-like query language (GQL)no
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Clojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresView functions in JavaScriptyes infoTransaction Functionsusing Google App EngineView functions in JavaScript
TriggersyesBy using transaction functionsCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
none infoBut extensive use of caching in the application peersMulti-Master replication using PaxosMaster-master replication infoalso with CouchDB databases
Master-slave replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicGoogle Cloud DatastorePouchDB
DB-Engines blog posts

Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month
2 June 2014, Matthias Gelbmann

show all

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Recent citations in the news

How to create your first CouchDB database with Fauxton
8 May 2019, TechRepublic

IBM Adds Kubernetes Operator for CouchDB
26 September 2019, Datanami

IBM Adds Support and Kubernetes Operator for Apache CouchDB to Sync Data Across Multi-Cloud Environments
30 September 2019, Database Trends and Applications

How to install CouchDB on CentOS 7
30 April 2019, TechRepublic

A Pokemon Crash Course on CouchDB
11 August 2016, SitePoint

provided by Google News

Access to tetracyclic aromatics with bridgehead metals via metalla-click reactions
17 January 2020, Science Advances

These are the top 25 people with the most influence on the 'tech industry'
16 May 2019, Digital Information World

Stack Overflow developer survey 2019: 25 most influential people in tech - Business Insider
11 May 2019, Business Insider

Top databases in 2017: Trends for SQL, NoSQL, Big Data, Fast Data
30 March 2017, JAXenter

FaunaDB: A New Distributed Database from the Team That Scaled Twitter
24 March 2017, InfoQ.com

provided by Google News

Google Cloud Datastore has Monday meltdown, tips other services over • DEVCLASS
11 November 2019, DevClass

Red Hat OpenShift Updates Hit Multi-Cloud, Security
15 January 2020, SDxCentral

Your occasional enterprise storage digest, featuring Red Hat, Nexsan, and Scality
17 January 2020, Blocks and Files

At a High Level: Microsoft Azure vs. Google Cloud Platform
13 September 2019, eWeek

Vice President Software Engineering - Jiobit
23 January 2020, Built In Chicago

provided by Google News

ACROFAN
8 January 2020, ACROFAN USA

Getting Started with PouchDB Client-Side JavaScript Database
7 September 2016, SitePoint

Synchronizing Offline App Data with PouchDB
25 September 2015, SitePoint

Create Offline Web Apps Using Service Workers & PouchDB
7 March 2017, SitePoint

Top Local Databases for React Native App Development {A 2020 List}
15 October 2019, Appinventiv

provided by Google News

Job opportunities

COMPUTER ASSOC (SOFTWARE)
New York City NYC EMPLOYEES RETIREMENT SYS, Brooklyn, NY

COMPUTER SPECIALIST (SOFTWARE)
New York City NYC EMPLOYEES RETIREMENT SYS, Brooklyn, NY

DAL - Data & Analytics (DA)
Daugherty Business Solutions, Dallas, TX

ATL - Data & Analytics (DA)
Daugherty Business Solutions, Atlanta, GA

Modern Server Developer with Alexa Skill Experience
Mobiquity, Remote

Blue Planet Software Engineer
Ciena, Austin, TX

Vice President Software Engineering
Jio, Inc., Chicago, IL

Google Data Engineer
Accenture, Denver, CO

Google Data Engineer
Accenture, New York, NY

Google Data Engineer
Accenture, Miami, FL

Google Data Engineer
Accenture, Culver City, CA

Sr Back End Developer
DCP Midstream, United States

Sr Tech Lead
DCP Midstream, United States

Senior Software Engineer
PHIflow, LLC, New York, NY

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

MariaDB logo

How do MariaDB, Oracle MySQL and EnterpriseDB compare?
Get the white paper to
learn more.

Datastax Luna logo

Simple, subscription-based support for open source
Apache Cassandra™ from the Cassandra experts.
Learn more.

Present your product here