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DBMS > LevelDB vs. RDF4J vs. Sequoiadb vs. Splice Machine

System Properties Comparison LevelDB vs. RDF4J vs. Sequoiadb vs. Splice Machine

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQLOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelKey-value storeRDF storeDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.07
Rank#88  Overall
#16  Key-value stores
Score0.48
Rank#215  Overall
#9  RDF stores
Score0.30
Rank#246  Overall
#34  Document stores
#116  Relational DBMS
Score0.75
Rank#178  Overall
#89  Relational DBMS
Websitegithub.com/­google/­leveldbrdf4j.orgwww.sequoiadb.comsplicemachine.com
Technical documentationgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdoc.splicemachine.com
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.John Leach
Initial release2011200420132014
Current release1.22, May 20192.0
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2Open Source infoextended commercial Enterprise edition available
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++JavaC++Java
Server operating systemsIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infooid, date, timestamp, binary, regexyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
.Net
C++
Java
PHP
Python
Java
JRuby
Scala
Server-side scripts infoStored proceduresnoyesJavaScriptyes infoJava
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes 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.noyes
User concepts infoAccess controlnonosimple password-based access controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
LevelDBRDF4J infoformerly known as SesameSequoiadbSplice Machine
Specific characteristicsSplice Machine is the open-source dual-engine RDBMS, powered by Hadoop and Spark....
» more
Competitive advantages
» more
Typical application scenariosMachine Learning, High Volume Financial Transaction processing, Internet of Things...
» more
Licensing and pricing modelsFree Open Source as well as Enterprise model available. See http://www.splicemachine.com/product/pricing...
» more
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