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DBMS > atoti vs. GeoSpock vs. GridDB vs. Hawkular Metrics vs. LokiJS

System Properties Comparison atoti vs. GeoSpock vs. GridDB vs. Hawkular Metrics vs. LokiJS

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLokiJS  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Spatial and temporal data processing engine for extreme data scaleScalable in-memory time series database optimized for IoT and Big DataHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory JavaScript DBMS
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMSTime Series DBMSDocument store
Secondary database modelsTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Websiteatoti.iogeospock.comgriddb.netwww.hawkular.orggithub.com/­techfort/­LokiJS
Technical documentationdocs.atoti.iodocs.griddb.netwww.hawkular.org/­hawkular-metrics/­docs/­user-guidetechfort.github.io/­LokiJS
DeveloperActiveViamGeoSpockToshiba CorporationCommunity supported by Red Hat
Initial release201320142014
Current release2.0, September 20195.1, August 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source
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 languageJavaJava, JavascriptC++JavaJavaScript
Server operating systemshostedLinuxLinux
OS X
Windows
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, timestampyesno
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, categoricalyesnoyes infovia views
SQL infoSupport of SQLMultidimensional Expressions (MDX)ANSI 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
HTTP RESTJavaScript API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresPythonnononoView functions in JavaScript
Triggersnoyesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningAutomatic shardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelnono infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
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
atotiGeoSpockGridDBHawkular MetricsLokiJS
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
atotiGeoSpockGridDBHawkular MetricsLokiJS
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