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

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

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKairosDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.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 DBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A 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
Relational DBMSDocument store
Key-value store
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
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websiteallegrograph.comjanusgraph.orggithub.com/­kairosdb/­kairosdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.janusgraph.orgkairosdb.github.io
DeveloperFranz Inc.Drizzle project, originally started by Brian AkerFatCloudLinux Foundation; originally developed as Titan by Aurelius
Initial release20042008201220172013
Current release8.0, December 20237.2.4, September 20120.6.3, February 20231.2.2, November 2018
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGNU GPLcommercialOpen 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++C#JavaJava
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
WindowsLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesschema-freeyesschema-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 possiblenono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensionsno infoVia inetgration in SQL Servernono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
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++
Java
PHP
C#Clojure
Java
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infovia applicationsyesno
Triggersyesno infohooks for callbacks inside the server can be used.yes infovia applicationsyesno
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
Multi-source replication
Source-replica replication
selectable replication factoryesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes 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
Eventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
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.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsUser authentification and security via Rexster Graph Serversimple password-based access control
More information provided by the system vendor
AllegroGraphDrizzleFatDBJanusGraph 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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