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DBMS > AllegroGraph vs. FatDB vs. GridGain vs. JanusGraph vs. KairosDB

System Properties Comparison AllegroGraph vs. FatDB vs. GridGain vs. JanusGraph vs. KairosDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonFatDB  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKairosDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA .NET NoSQL DBMS that can integrate with and extend SQL Server.GridGain 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 2017Distributed Time Series DBMS based on Cassandra or H2
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Key-value store
Key-value store
Relational DBMS
Graph DBMSTime Series 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
#7  Vector DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websiteallegrograph.comwww.gridgain.comjanusgraph.orggithub.com/­kairosdb/­kairosdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgkairosdb.github.io
DeveloperFranz Inc.FatCloudGridGain Systems, Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release20042012200720172013
Current release8.0, December 2023GridGain 8.5.10.6.3, February 20231.2.2, November 2018
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Java, C++, .NetJavaJava
Server operating systemsLinux
OS X
Windows
WindowsLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasschema-freeyesyesschema-free
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 possibleyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageno infoVia inetgration in SQL ServerANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsRESTful HTTP API
SPARQL
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infovia applicationsyes (compute grid and cache interceptors can be used instead)yesno
Triggersyesyes infovia applicationsyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes (replicated cache)yesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationno infoCan implement custom security layer via applicationsSecurity Hooks for custom implementationsUser authentification and security via Rexster Graph Serversimple password-based access control
More information provided by the system vendor
AllegroGraphFatDBGridGainJanusGraph infosuccessor of TitanKairosDB
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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