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

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

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGridDB  Xexclude from comparisonHypertable  Xexclude from comparisonOrigoDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleScalable in-memory time series database optimized for IoT and Big DataAn open source BigTable implementation based on distributed file systems such as HadoopA 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 modelRelational DBMSTime Series DBMSWide column storeDocument 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
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
Websitegeospock.comgriddb.netorigodb.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.griddb.netorigodb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockToshiba CorporationHypertable Inc.Robert Friberg et alByteDance, originally Terark
Initial release201320092009 infounder the name LiveDB2016
Current release2.0, September 20195.1, August 20220.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGNU version 3. Commercial license availableOpen Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++C++C#C++
Server operating systemshostedLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoUser 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.nonono infocan be achieved using .NETno
Secondary indexestemporal, categoricalyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL92, SQL-like TQL (Toshiba Query Language)nonono
APIs and other access methodsJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
C++ API
Thrift
.NET Client API
HTTP API
LINQ
C++ API
Java API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
.NetC++
Java
Server-side scripts infoStored proceduresnononoyesno
Triggersnoyesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users can be defined per databasenoRole based authorizationno
More information provided by the system vendor
GeoSpockGridDBHypertableOrigoDBTerarkDB
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
GeoSpockGridDBHypertableOrigoDBTerarkDB
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