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DBMS > CouchDB vs. Datomic vs. EJDB vs. Firebolt vs. Lovefield

System Properties Comparison CouchDB vs. Datomic vs. EJDB vs. Firebolt vs. Lovefield

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonFirebolt  Xexclude from comparisonLovefield  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 durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMSRelational DBMS
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
Score0.13
Rank#331  Overall
#46  Document stores
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Websitecouchdb.apache.orgwww.datomic.comgithub.com/­Softmotions/­ejdbwww.firebolt.iogoogle.github.io/­lovefield
Technical documentationdocs.couchdb.org/­en/­stabledocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.firebolt.iogithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectSoftmotionsFirebolt Analytics Inc.Google
Initial release20052012201220202014
Current release3.3.3, December 20231.0.7180, July 20242.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infolimited edition freeOpen Source infoGPLv2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava, ClojureCJavaScript
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMserver-lesshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, bool, date, object_idyesyes
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.nonono
Secondary indexesyes infovia viewsyesnoyesyes
SQL infoSupport of SQLnononoyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIin-process shared library.Net
ODBC
RESTful HTTP API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresView functions in JavaScriptyes infoTransaction Functionsnonono
TriggersyesBy using transaction functionsnonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersnonedepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Database
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 developmentyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users can be defined per databasenonono

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