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DBMS > AllegroGraph vs. searchxml vs. Spark SQL vs. TigerGraph

System Properties Comparison AllegroGraph vs. searchxml vs. Spark SQL vs. TigerGraph

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Native XML DBMS
Search engine
Relational DBMSGraph 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
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websiteallegrograph.comwww.searchxml.net/­category/­productsspark.apache.org/­sqlwww.tigergraph.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperFranz Inc.informationpartners gmbhApache Software Foundation
Initial release2004201520142017
Current release8.0, December 20231.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache 2.0commercial
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++ScalaC++
Server operating systemsLinux
OS X
Windows
WindowsLinux
OS X
Windows
Linux
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possibleyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++ infomost other programming languages supported via APIsJava
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoon the application servernoyes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith Federationnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writernoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationDomain, group and role-based access control at the document level and for application servicesnoRole-based access control
More information provided by the system vendor
AllegroGraphsearchxmlSpark SQLTigerGraph
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
News

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3 April 2024

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9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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