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DBMS > AllegroGraph vs. Amazon Neptune vs. GridGain vs. JanusGraph

System Properties Comparison AllegroGraph vs. Amazon Neptune vs. GridGain vs. JanusGraph

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSFast, reliable graph database built for the cloudGridGain is an in-memory computing platform, built on Apache IgniteA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMS
RDF store
Key-value store
Relational DBMS
Graph 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
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score1.91
Rank#135  Overall
#12  Graph DBMS
Websiteallegrograph.comaws.amazon.com/­neptunewww.gridgain.comjanusgraph.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlaws.amazon.com/­neptune/­developer-resourceswww.gridgain.com/­docs/­index.htmldocs.janusgraph.org
DeveloperFranz Inc.AmazonGridGain Systems, Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release2004201720072017
Current release8.0, December 2023GridGain 8.5.10.6.3, February 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyes infoRDF schemasschema-freeyesyes
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 possiblenoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsRESTful HTTP API
SPARQL
OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes (compute grid and cache interceptors can be used instead)yes
Triggersyesnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
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.yes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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)Security Hooks for custom implementationsUser authentification and security via Rexster Graph Server
More information provided by the system vendor
AllegroGraphAmazon NeptuneGridGainJanusGraph infosuccessor of Titan
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
News

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Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

The New Stack Features AllegroGraph v8
2 January 2024

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