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DBMS > AllegroGraph vs. FeatureBase vs. Geode vs. Linter

System Properties Comparison AllegroGraph vs. FeatureBase vs. Geode vs. Linter

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonFeatureBase  Xexclude from comparisonGeode  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesRDBMS for high security requirements
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSSpatial 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
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websiteallegrograph.comwww.featurebase.comgeode.apache.orglinter.ru
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.featurebase.comgeode.apache.org/­docs
DeveloperFranz Inc.Molecula and Pilosa Open Source ContributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.relex.ru
Initial release2004201720021990
Current release8.0, December 20232022, May 20221.1, February 2017
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC and C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
All OS with a Java VM infothe JDK (8 or later) is also requiredAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyes infoRDF schemasyesschema-freeyes
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 possiblenonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL queriesSQL-like query language (OQL)yes
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC
JDBC
Kafka Connector
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesnoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replicationSource-replica replication
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 configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
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 per client and object definablefine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphFeatureBaseGeodeLinter
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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