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DBMS > AllegroGraph vs. Hive vs. Kyligence Enterprise vs. Microsoft Azure Table Storage

System Properties Comparison AllegroGraph vs. Hive vs. Kyligence Enterprise vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHive  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed analytics engine for big data, built on top of Apache KylinA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteallegrograph.comhive.apache.orgkyligence.io/­kyligence-enterpriseazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperFranz Inc.Apache Software Foundation infoinitially developed by FacebookKyligence, Inc.Microsoft
Initial release2004201220162012
Current release8.0, December 20233.1.3, April 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxhosted
Data schemeyes infoRDF schemasyesyesschema-free
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 possiblenono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking
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.nonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
AllegroGraphHiveKyligence EnterpriseMicrosoft Azure Table Storage
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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