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DBMS > AllegroGraph vs. Ehcache vs. Firebird vs. RDF4J vs. Spark SQL

System Properties Comparison AllegroGraph vs. Ehcache vs. Firebird vs. RDF4J vs. Spark SQL

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonEhcache  Xexclude from comparisonFirebird  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA widely adopted Java cache with tiered storage optionsFirebird is an open source RDBMS forked from Borland's InterBaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeRelational DBMSRDF storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score5.23
Rank#68  Overall
#8  Key-value stores
Score21.06
Rank#31  Overall
#19  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websiteallegrograph.comwww.ehcache.orgwww.firebirdsql.orgrdf4j.orgspark.apache.org/­sql
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.ehcache.org/­documentationwww.firebirdsql.org/­en/­reference-manualsrdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFranz Inc.Terracotta Inc, owned by Software AGFirebird FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation
Initial release200420092000 infoAs fork of Borland's InterBase20042014
Current release8.0, December 20233.10.0, March 20225.0.0, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; commercial licenses availableOpen Source infoInitial Developer's Public LicenseOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++JavaScala
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasschema-freeyesyes infoRDF Schemasyes
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.no infobulk load of XML files possiblenono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenoyesnoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
JCacheADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
JavaC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoPSQLyesno
Triggersyesyes infoCache Event Listenersyesyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoby using Terracotta Servernonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta ServerSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes 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.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoUsers with fine-grained authorization conceptnono
More information provided by the system vendor
AllegroGraphEhcacheFirebirdRDF4J infoformerly known as SesameSpark SQL
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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