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DBMS > CouchDB vs. Datomic vs. IRONdb vs. SpaceTime vs. Tkrzw

System Properties Comparison CouchDB vs. Datomic vs. IRONdb vs. SpaceTime vs. Tkrzw

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonIRONdb  Xexclude from comparisonSpaceTime  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySpaceTime is a spatio-temporal DBMS with a focus on performance.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeRelational DBMSTime Series DBMSSpatial DBMSKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitecouchdb.apache.orgwww.datomic.comwww.circonus.com/solutions/time-series-database/www.mireo.com/­spacetimedbmx.net/­tkrzw
Technical documentationdocs.couchdb.org/­en/­stabledocs.datomic.comdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectCirconus LLC.MireoMikio Hirabayashi
Initial release20052012201720202020
Current release3.3.3, December 20231.0.6735, June 2023V0.10.20, January 20180.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava, ClojureC and C++C++C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinuxLinux
macOS
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes infotext, numeric, histogramsyesno
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 viewsyesnono
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)A subset of ANSI SQL is implementedno
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIHTTP APIRESTful 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
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresView functions in JavaScriptyes infoTransaction Functionsyes, in Luanono
TriggersyesBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersAutomatic, metric affinity per nodeFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersconfigurable replication factor, datacenter awareReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentnonoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users can be defined per databasenonoyesno

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicIRONdbSpaceTimeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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