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

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

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Datastore  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 durabilityA widely adopted Java cache with tiered storage optionsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelDocument 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
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score4.13
Rank#71  Overall
#12  Document stores
Websitecouchdb.apache.orgwww.datomic.comwww.ehcache.orgcloud.google.com/­datastore
Technical documentationdocs.couchdb.org/­en/­stabledocs.datomic.comwww.ehcache.org/­documentationcloud.google.com/­datastore/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectTerracotta Inc, owned by Software AGGoogle
Initial release2005201220092008
Current release3.3.3, December 20231.0.7180, July 20243.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJava, ClojureJava
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAll OS with a Java VMhosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes, details here
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 viewsyesnoyes
SQL infoSupport of SQLnononoSQL-like query language (GQL)
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIJCachegRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Clojure
Java
Java.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresView functions in JavaScriptyes infoTransaction Functionsnousing Google App Engine
TriggersyesBy using transaction functionsyes infoCache Event ListenersCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersyes infoby using Terracotta ServerMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate 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.
Foreign keys infoReferential integritynononoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDyes infosupports JTA and can work as an XA resourceACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infousing a tiered cache-storage approachyes
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 developmentyesno
User concepts infoAccess controlAccess rights for users can be defined per databasenonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicEhcacheGoogle Cloud Datastore
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