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DBMS > Dragonfly vs. GeoSpock vs. GridDB vs. OrigoDB vs. TerarkDB

System Properties Comparison Dragonfly vs. GeoSpock vs. GridDB vs. OrigoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceSpatial and temporal data processing engine for extreme data scaleScalable in-memory time series database optimized for IoT and Big DataA fully ACID in-memory object graph databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Key-value store
Secondary database modelsTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geospock.comgriddb.netorigodb.comgithub.com/­bytedance/­terarkdb
Technical documentationwww.dragonflydb.io/­docsdocs.griddb.netorigodb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDragonflyDB team and community contributorsGeoSpockToshiba CorporationRobert Friberg et alByteDance, originally Terark
Initial release202320132009 infounder the name LiveDB2016
Current release1.0, March 20232.0, September 20195.1, August 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptC++C#C++
Server operating systemsLinuxhostedLinuxLinux
Windows
Data schemescheme-freeyesyesyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyes infonumerical, string, blob, geometry, boolean, timestampUser defined using .NET types and collectionsno
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 infocan be achieved using .NETno
Secondary indexesnotemporal, categoricalyesyesno
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
C++ API
Java API
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.NetC++
Java
Server-side scripts infoStored proceduresLuanonoyesno
Triggerspublish/subscribe channels provide some trigger functionalitynoyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACID at container levelACIDno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlPassword-based authenticationAccess rights for users can be defined per tableAccess rights for users can be defined per databaseRole based authorizationno
More information provided by the system vendor
DragonflyGeoSpockGridDBOrigoDBTerarkDB
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
DragonflyGeoSpockGridDBOrigoDBTerarkDB
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