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DBMS > JanusGraph vs. Microsoft Azure Table Storage vs. Netezza vs. VoltDB

System Properties Comparison JanusGraph vs. Microsoft Azure Table Storage vs. Netezza vs. VoltDB

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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 comparisonVoltDB  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 PureSystemsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelGraph DBMSWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websitejanusgraph.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.ibm.com/­products/­netezzawww.voltdb.com
Technical documentationdocs.janusgraph.orgdocs.voltdb.com
DeveloperLinux Foundation; originally developed as Titan by AureliusMicrosoftIBMVoltDB Inc.
Initial release2017201220002010
Current release1.0.0, October 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++
Server operating systemsLinux
OS X
Unix
Windows
hostedLinux infoincluded in applianceLinux
OS X infofor development
Data schemeyesschema-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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesyes infoonly a subset of SQL 99
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP APIJDBC
ODBC
OLE DB
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesnoyesJava
Triggersyesnonono
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
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
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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 conceptUsers and roles with access to stored procedures

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More resources
JanusGraph infosuccessor of TitanMicrosoft Azure Table StorageNetezza infoAlso called PureData System for Analytics by IBMVoltDB
Recent citations in the news

Simple Deployment of a Graph Database: JanusGraph
12 October 2020, Towards Data Science

Database Deep Dives: JanusGraph
8 August 2019, ibm.com

JanusGraph Picks Up Where TitanDB Left Off
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Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
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1 August 2023, The Register

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