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DBMS > GeoSpock vs. RDF4J vs. Rockset vs. Sequoiadb

System Properties Comparison GeoSpock vs. RDF4J vs. Rockset vs. Sequoiadb

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRockset  Xexclude from comparisonSequoiadb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleRDF4J 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 RocksDBNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRDF storeDocument storeDocument store
Relational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#231  Overall
#9  RDF stores
Score0.84
Rank#209  Overall
#35  Document stores
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websitegeospock.comrdf4j.orgrockset.comwww.sequoiadb.com
Technical documentationrdf4j.org/­documentationdocs.rockset.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGeoSpockSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.RocksetSequoiadb Ltd.
Initial release200420192013
Current release2.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC++C++
Server operating systemshostedLinux
OS X
Unix
Windows
hostedLinux
Data schemeyesyes infoRDF Schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typingyes infooid, date, timestamp, binary, regex
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 infoingestion from XML files supportedno
Secondary indexestemporal, categoricalyesall fields are automatically indexedyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noRead-only SQL queries, including JOINsSQL-like query language
APIs and other access methodsJDBCJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP RESTproprietary protocol using JSON
Supported programming languagesJava
PHP
Python
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesnoJavaScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usednoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per tablenoAccess rights for users and organizations can be defined via Rockset consolesimple password-based access control

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More resources
GeoSpockRDF4J infoformerly known as SesameRocksetSequoiadb
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How GeoSpock is supercharging geospatial analytics
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