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DBMS > AllegroGraph vs. Amazon CloudSearch vs. Hive

System Properties Comparison AllegroGraph vs. Amazon CloudSearch vs. Hive

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonHive  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA hosted search engine service by Amazon with the data stored in Amazons clouddata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Search engineRelational DBMS
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
Score1.85
Rank#137  Overall
#12  Search engines
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteallegrograph.comaws.amazon.com/­cloudsearchhive.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­cloudsearchcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperFranz Inc.AmazonApache Software Foundation infoinitially developed by Facebook
Initial release200420122012
Current release8.0, December 20233.1.3, April 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 possible
Secondary indexesyesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP APIJDBC
ODBC
Thrift
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infouser defined functions and integration of map-reduce
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infomanaged transparently by AWSselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationauthentication via encrypted signaturesAccess rights for users, groups and roles
More information provided by the system vendor
AllegroGraphAmazon CloudSearchHive
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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More resources
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