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DBMS > AllegroGraph vs. Datomic vs. Hive vs. Postgres-XL vs. SAP SQL Anywhere

System Properties Comparison AllegroGraph vs. Datomic vs. Hive vs. Postgres-XL vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonHive  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydata warehouse software for querying and managing large distributed datasets, built on HadoopBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#199  Overall
#34  Document stores
#18  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score0.56
Rank#253  Overall
#115  Relational DBMS
Score4.89
Rank#77  Overall
#42  Relational DBMS
Websiteallegrograph.comwww.datomic.comhive.apache.orgwww.postgres-xl.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.postgres-xl.org/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperFranz Inc.CognitectApache Software Foundation infoinitially developed by FacebookSAP infoformerly Sybase
Initial release2004201220122014 infosince 2012, originally named StormDB1992
Current release8.0, December 20231.0.6735, June 20233.1.3, April 202210 R1, October 201817, July 2015
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freeOpen Source infoApache Version 2Open Source infoMozilla public licensecommercial
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 languageJava, ClojureJavaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAll OS with a Java VMLinux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
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.no infobulk load of XML files possiblenoyes infoXML type, but no XML query functionalityyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statementsyes infodistributed, parallel query executionyes
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJDBC
ODBC
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
C++
Java
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsyes infouser defined functions and integration of map-reduceuser defined functionsyes, in C/C++, Java, .Net or Perl
TriggersyesBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersselectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoAccess rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphDatomicHivePostgres-XLSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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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