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DBMS > AllegroGraph vs. AnzoGraph DB vs. Faircom EDGE vs. Hive

System Properties Comparison AllegroGraph vs. AnzoGraph DB vs. Faircom EDGE vs. Hive

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHive  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsdata 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
Graph DBMS
RDF store
Key-value store
Relational DBMS
Relational 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
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Websiteallegrograph.comcambridgesemantics.com/­anzographwww.faircom.com/­products/­faircom-edgehive.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperFranz Inc.Cambridge SemanticsFairCom CorporationApache Software Foundation infoinitially developed by Facebook
Initial release2004201819792012
Current release8.0, December 20232.3, January 2021V3, October 20203.1.3, April 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree trial version availablecommercial infoRestricted, free version availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++Java
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VM
Data schemeyes infoRDF schemasSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageSPARQL and SPARQL* as primary query language. Cypher preview.yes infoANSI SQL queriesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregatesyes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reduce
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationAutomatic shardingFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication in MPP-Clusteryes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in MPP-ClusterImmediate Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynono infonot needed in graphsyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles
More information provided by the system vendor
AllegroGraphAnzoGraph DBFaircom EDGE infoformerly c-treeEDGEHive
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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