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DBMS > GeoSpock vs. GridDB vs. Hive vs. Percona Server for MongoDB vs. UniData,UniVerse

System Properties Comparison GeoSpock vs. GridDB vs. Hive vs. Percona Server for MongoDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGridDB  Xexclude from comparisonHive  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded 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 Datadata warehouse software for querying and managing large distributed datasets, built on HadoopA drop-in replacement for MongoDB Community Edition with enterprise-grade features.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument storeMultivalue DBMS
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
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitegeospock.comgriddb.nethive.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.griddb.netcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.percona.com/­percona-distribution-for-mongodbdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGeoSpockToshiba CorporationApache Software Foundation infoinitially developed by FacebookPerconaRocket Software
Initial release2013201220151985
Current release2.0, September 20195.1, August 20223.1.3, April 20223.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2Open Source infoGPL Version 2commercial
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++JavaC++C
Server operating systemshostedLinuxAll OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesoptional
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
Secondary indexestemporal, categoricalyesyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
proprietary protocol using JSONJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceJavaScriptyes
Triggersnoyesnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelnonoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users can be defined per databaseAccess rights for users, groups and rolesAccess rights for users and rolesAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
GeoSpockGridDBHivePercona Server for MongoDBUniData,UniVerse
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GeoSpockGridDBHivePercona Server for MongoDBUniData,UniVerse
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