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DBMS > GridDB vs. Machbase Neo vs. RDF4J vs. Vitess

System Properties Comparison GridDB vs. Machbase Neo vs. RDF4J vs. Vitess

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataTimeSeries DBMS for AIoT and BigDataRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSTime Series DBMSRDF storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitegriddb.netmachbase.comrdf4j.orgvitess.io
Technical documentationdocs.griddb.netmachbase.com/­dbmsrdf4j.org/­documentationvitess.io/­docs
DeveloperToshiba CorporationMachbaseSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.The Linux Foundation, PlanetScale
Initial release2013201320042013
Current release5.1, August 2022V8.0, August 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree test version availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaGo
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Unix
Windows
Docker
Linux
macOS
Data schemeyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languagenoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesyes infoproprietary syntax
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACID infoIsolation support depends on the API usedACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesnoyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tableyes
User concepts infoAccess controlAccess rights for users can be defined per databasesimple password-based access controlnoUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GridDBMachbase Neo infoFormer name was InfinifluxRDF4J infoformerly known as SesameVitess
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
GridDBMachbase Neo infoFormer name was InfinifluxRDF4J infoformerly known as SesameVitess
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