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DBMS > RDF4J vs. SAP SQL Anywhere vs. Splice Machine vs. Splunk vs. VelocityDB

System Properties Comparison RDF4J vs. SAP SQL Anywhere vs. Splice Machine vs. Splunk vs. VelocityDB

Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSplice Machine  Xexclude from comparisonSplunk  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAnalytics Platform for Big DataA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRDF storeRelational DBMSRelational DBMSSearch engineGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiterdf4j.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsplicemachine.comwww.splunk.comvelocitydb.com
Technical documentationrdf4j.org/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywheresplicemachine.com/­how-it-worksdocs.splunk.com/­Documentation/­Splunkvelocitydb.com/­UserGuide
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP infoformerly SybaseSplice MachineSplunk Inc.VelocityDB Inc
Initial release20041992201420032011
Current release17, July 20153.1, March 20217.x
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoAGPL 3.0, commercial license availablecommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemsLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Any that supports .NET
Data schemeyes infoRDF Schemasyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyesno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
HTTP API
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
HTTP REST.Net
Supported programming languagesJava
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresyesyes, in C/C++, Java, .Net or Perlyes infoJavayesno
TriggersyesyesyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShared Nothhing Auto-Sharding, Columnar PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usedACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesBased on Windows Authentication

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More resources
RDF4J infoformerly known as SesameSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSplice MachineSplunkVelocityDB
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