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DBMS > RDF4J vs. SAP Advantage Database Server vs. Solr vs. Spark SQL vs. Sqrrl

System Properties Comparison RDF4J vs. SAP Advantage Database Server vs. Solr vs. Spark SQL vs. Sqrrl

Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonSolr  Xexclude from comparisonSpark SQL  Xexclude from comparisonSqrrl  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Low-cost RDBMS with access to ISAM and FoxPro data structuresA widely used distributed, scalable search engine based on Apache LuceneSpark SQL is a component on top of 'Spark Core' for structured data processingAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRDF storeRelational DBMSSearch engineRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#230  Overall
#9  RDF stores
Score42.91
Rank#24  Overall
#3  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiterdf4j.orgwww.sap.com/products/advantage-database-server.htmlsolr.apache.orgspark.apache.org/­sqlsqrrl.com
Technical documentationrdf4j.org/­documentationsolr.apache.org/­resources.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sybase, SAPApache Software FoundationApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release20041993200620142012
Current release9.6.0, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScalaJava
Server operating systemsLinux
OS X
Unix
Windows
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Linux
Data schemeyes infoRDF Schemasyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesyes
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.noyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLnoyesSolr Parallel SQL InterfaceSQL-like DML and DDL statementsno
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesJava
PHP
Python
Delphi
Perl
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyesJava pluginsnono
Triggersyesyesyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes, utilizing Spark CoreSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
yesnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usedACIDoptimistic lockingnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.no infocaching of (temporary) tables can be configuredyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
RDF4J infoformerly known as SesameSAP Advantage Database Server infoformer name: Sybase ADSSolrSpark SQLSqrrl
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