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DBMS > GeoSpock vs. GridDB vs. LokiJS vs. PouchDB

System Properties Comparison GeoSpock vs. GridDB vs. LokiJS vs. PouchDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGridDB  Xexclude from comparisonLokiJS  Xexclude from comparisonPouchDB  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 DataIn-memory JavaScript DBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Secondary database modelsTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score0.48
Rank#262  Overall
#42  Document stores
Score2.35
Rank#116  Overall
#22  Document stores
Websitegeospock.comgriddb.netgithub.com/­techfort/­LokiJSpouchdb.com
Technical documentationdocs.griddb.nettechfort.github.io/­LokiJSpouchdb.com/­guides
DeveloperGeoSpockToshiba CorporationApache Software Foundation
Initial release201320142012
Current release2.0, September 20195.1, August 20227.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++JavaScriptJavaScript
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnono
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 indexestemporal, categoricalyesyes infovia viewsyes infovia views
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JavaScript APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptJavaScript
Server-side scripts infoStored proceduresnonoView functions in JavaScriptView functions in JavaScript
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersnoneEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelno infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoby using IndexedDB, WebSQL or LevelDB as backend
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 databasenono
More information provided by the system vendor
GeoSpockGridDBLokiJSPouchDB
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
GeoSpockGridDBLokiJSPouchDB
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Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

Imagining an 'Everything Connected' World With Geospock | AWS Startups Blog
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GeoSpock launches Spatial Big Data Platform 2.0
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19 August 2022, global.toshiba

Toshiba to Open Source GridDB(R)'s SQL Interface, Aims to Accelerate Open Innovation | TOSHIBA DIGITAL ...
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