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DBMS > CouchDB vs. GigaSpaces vs. HarperDB vs. Tkrzw

System Properties Comparison CouchDB vs. GigaSpaces vs. HarperDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHarperDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.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 storeDocument store
Object oriented DBMS infoValues are user defined objects
Document storeKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitecouchdb.apache.orgwww.gigaspaces.comwww.harperdb.iodbmx.net/­tkrzw
Technical documentationdocs.couchdb.org/­en/­stabledocs.gigaspaces.com/­latest/­landing.htmldocs.harperdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGigaspaces TechnologiesHarperDBMikio Hirabayashi
Initial release2005200020172020
Current release3.3.3, December 202315.5, September 20203.1, August 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; Commercial licenses availablecommercial infofree community edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava, C++, .NetNode.jsC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Linux
macOS
Data schemeschema-freeschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or datenoyesyes infoJSON data typesno
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyes infovia viewsyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL-like data manipulation statementsno
APIs and other access methodsRESTful HTTP/JSON APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C++
Java
Python
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresView functions in JavaScriptyesCustom Functions infosince release 3.1no
Triggersyesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users can be defined per databaseRole-based access controlAccess rights for users and rolesno

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GigaSpacesHarperDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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