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DBMS > JanusGraph vs. Microsoft Azure Table Storage vs. Netezza vs. PouchDB vs. searchxml

System Properties Comparison JanusGraph vs. Microsoft Azure Table Storage vs. Netezza vs. PouchDB vs. searchxml

Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A Wide Column Store for rapid development using massive semi-structured datasetsData warehouse and analytics appliance part of IBM PureSystemsJavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMSWide column storeRelational DBMSDocument storeNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitejanusgraph.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzapouchdb.comwww.searchxml.net/­category/­products
Technical documentationdocs.janusgraph.orgpouchdb.com/­guideswww.searchxml.net/­support/­handouts
DeveloperLinux Foundation; originally developed as Titan by AureliusMicrosoftIBMApache Software Foundationinformationpartners gmbh
Initial release20172012200020122015
Current release0.6.3, February 20237.1.1, June 20191.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++
Server operating systemsLinux
OS X
Unix
Windows
hostedLinux infoincluded in applianceserver-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononoyes
Secondary indexesyesnoyesyes infovia viewsyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP APIJDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesClojure
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScriptC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesnoyesView functions in JavaScriptyes infoon the application server
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoImplicit feature of the cloud serviceShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization conceptnoDomain, group and role-based access control at the document level and for application services

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More resources
JanusGraph infosuccessor of TitanMicrosoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMPouchDBsearchxml
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