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DBMS > AllegroGraph vs. openGauss vs. Spark SQL vs. TerarkDB

System Properties Comparison AllegroGraph vs. openGauss vs. Spark SQL vs. TerarkDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonopenGauss  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiSpark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#9  Vector DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteallegrograph.comgitee.com/­opengauss
opengauss.org
spark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
spark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperFranz Inc.Huawei and openGauss communityApache Software FoundationByteDance, originally Terark
Initial release2004201920142016
Current release8.0, December 20233.0, March 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen SourceOpen Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaScalaC++
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyes infoRDF schemasyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 possiblenonono
Secondary indexesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL 2011SQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
JDBC
ODBC
C++ API
Java API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioning (by range, list and hash)yes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.nononoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standardnono
More information provided by the system vendor
AllegroGraphopenGaussSpark SQLTerarkDB
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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