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DBMS > AllegroGraph vs. Amazon Neptune vs. Derby vs. GridGain vs. OpenEdge

System Properties Comparison AllegroGraph vs. Amazon Neptune vs. Derby vs. GridGain vs. OpenEdge

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGridGain  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSFast, reliable graph database built for the cloudFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.GridGain is an in-memory computing platform, built on Apache IgniteApplication development environment with integrated database management system
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Websiteallegrograph.comaws.amazon.com/­neptunedb.apache.org/­derbywww.gridgain.comwww.progress.com/­openedge
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlaws.amazon.com/­neptune/­developer-resourcesdb.apache.org/­derby/­manuals/­index.htmlwww.gridgain.com/­docs/­index.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperFranz Inc.AmazonApache Software FoundationGridGain Systems, Inc.Progress Software Corporation
Initial release20042017199720071984
Current release8.0, December 202310.17.1.0, November 2023GridGain 8.5.1OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .Net
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyes infoRDF schemasschema-freeyesyesyes
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 possiblenoyesyesyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesANSI-99 for query and DML statements, subset of DDLyes infoclose to SQL 92
APIs and other access methodsRESTful HTTP API
SPARQL
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaC#
C++
Java
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)yes
Triggersyesnoyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodeswith FederationnonenoneShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Source-replica replicationyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardSecurity Hooks for custom implementationsUsers and groups
More information provided by the system vendor
AllegroGraphAmazon NeptuneDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGridGainOpenEdge
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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