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DBMS > GridDB vs. Quasardb vs. RDF4J vs. Rockset

System Properties Comparison GridDB vs. Quasardb vs. RDF4J vs. Rockset

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataDistributed, high-performance timeseries databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSTime Series DBMSRDF storeDocument store
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
Search engine
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
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.79
Rank#211  Overall
#35  Document stores
Websitegriddb.netquasar.airdf4j.orgrockset.com
Technical documentationdocs.griddb.netdoc.quasar.ai/­masterrdf4j.org/­documentationdocs.rockset.com
DeveloperToshiba CorporationquasardbSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Rockset
Initial release2013200920042019
Current release5.1, August 20223.14.1, January 2024
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 infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaC++
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
hosted
Data schemeyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infointeger and binaryyesdynamic typing
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.nonono infoingestion from XML files supported
Secondary indexesyesyes infowith tagsyesall fields are automatically indexed
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languagenoRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP REST
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
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factornoneyes
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 integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes 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 infoTransient mode
User concepts infoAccess controlAccess rights for users can be defined per databaseCryptographically strong user authentication and audit trailnoAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
GridDBQuasardbRDF4J infoformerly known as SesameRockset
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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GridDBQuasardbRDF4J infoformerly known as SesameRockset
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