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DBMS > CouchDB vs. GridDB vs. HugeGraph vs. SiteWhere

System Properties Comparison CouchDB vs. GridDB vs. HugeGraph vs. SiteWhere

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGridDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Scalable in-memory time series database optimized for IoT and Big DataA fast-speed and highly-scalable Graph DBMSM2M integration platform for persisting/querying time series data
Primary database modelDocument storeTime Series DBMSGraph DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitecouchdb.apache.orggriddb.netgithub.com/­hugegraph
hugegraph.apache.org
github.com/­sitewhere/­sitewhere
Technical documentationdocs.couchdb.org/­en/­stabledocs.griddb.nethugegraph.apache.org/­docssitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerToshiba CorporationBaiduSiteWhere
Initial release2005201320182010
Current release3.3.3, December 20235.1, August 20220.9
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++JavaJava
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Unix
Linux
OS X
Windows
Data schemeschema-freeyesyespredefined scheme
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 viewsyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
Python
Server-side scripts infoStored proceduresView functions in JavaScriptnoasynchronous Gremlin script jobs
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID at container levelACIDno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users can be defined per databaseUsers, roles and permissionsUsers with fine-grained authorization concept
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GridDBHugeGraphSiteWhere
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GridDBHugeGraphSiteWhere
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