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DBMS > GridDB vs. Quasardb vs. RavenDB vs. RDFox

System Properties Comparison GridDB vs. Quasardb vs. RavenDB vs. RDFox

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDistributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelTime Series DBMSTime Series DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsKey-value store
Relational DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitegriddb.netquasar.airavendb.netwww.oxfordsemantic.tech
Technical documentationdocs.griddb.netdoc.quasar.ai/­masterravendb.net/­docsdocs.oxfordsemantic.tech
DeveloperToshiba CorporationquasardbHibernating RhinosOxford Semantic Technologies
Initial release2013200920102017
Current release5.1, August 20223.14.1, January 20245.4, July 20226.0, Septermber 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 community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C#C++
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infointeger and binarynoyes
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 indexesyesyes infowith tagsyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageSQL-like query language (RQL)no
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresnonoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factorMulti-source replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobswith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users can be defined per databaseCryptographically strong user authentication and audit trailAuthorization levels configured per client per databaseRoles, resources, and access types
More information provided by the system vendor
GridDBQuasardbRavenDBRDFox
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
GridDBQuasardbRavenDBRDFox
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