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DBMS > GridDB vs. Kinetica vs. LokiJS vs. Microsoft Access vs. Newts

System Properties Comparison GridDB vs. Kinetica vs. LokiJS vs. Microsoft Access vs. Newts

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonKinetica  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataFully vectorized database across both GPUs and CPUsIn-memory JavaScript DBMSMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Time Series DBMS based on Cassandra
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitegriddb.netwww.kinetica.comgithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accessopennms.github.io/­newts
Technical documentationdocs.griddb.netdocs.kinetica.comtechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accessgithub.com/­OpenNMS/­newts/­wiki
DeveloperToshiba CorporationKineticaMicrosoftOpenNMS Group
Initial release20132012201419922014
Current release5.1, August 20227.1, August 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++JavaScriptC++Java
Server operating systemsLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesnoyesyes
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 indexesyesyesyes infovia viewsyesno
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsnoyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
JavaScript APIADO.NET
DAO
ODBC
OLE DB
HTTP REST
Java API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnonenoneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnono infoatomic operations within a single collection possibleACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and roles on table levelnono infoa simple user-level security was built in till version Access 2003no
More information provided by the system vendor
GridDBKineticaLokiJSMicrosoft AccessNewts
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
GridDBKineticaLokiJSMicrosoft AccessNewts
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