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DBMS > CouchDB vs. Google Cloud Datastore vs. Lovefield vs. Oracle Coherence vs. Realm

System Properties Comparison CouchDB vs. Google Cloud Datastore vs. Lovefield vs. Oracle Coherence vs. Realm

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLovefield  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable relational database for web apps written in pure JavaScriptOracles in-memory data grid solutionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeDocument storeRelational DBMSKey-value storeDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.46
Rank#51  Overall
#7  Document stores
Score4.13
Rank#71  Overall
#12  Document stores
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score1.90
Rank#127  Overall
#21  Key-value stores
Score7.18
Rank#52  Overall
#8  Document stores
Websitecouchdb.apache.orgcloud.google.com/­datastoregoogle.github.io/­lovefieldwww.oracle.com/­java/­coherencerealm.io
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­datastore/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­en/­middleware/­standalone/­coherencerealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleGoogleOracleRealm, acquired by MongoDB in May 2019
Initial release20052008201420072014
Current release3.3.3, December 20232.1.12, February 201714.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJavaScriptJava
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java VMAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyes, details hereyesyesyes
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.nonononono
Secondary indexesyes infovia viewsyesyesnoyes
SQL infoSupport of SQLnoSQL-like query language (GQL)SQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.Net
C++
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresView functions in JavaScriptusing Google App Enginenonono inforuns within the applications so server-side scripts are unnecessary
TriggersyesCallbacks using the Google Apps EngineUsing read-only observersyes infoLive Eventsyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using Paxosnoneyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDByesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noauthentification to access the cache via certificates or http basic authenticationyes

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud DatastoreLovefieldOracle CoherenceRealm
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