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DBMS > JanusGraph vs. Netezza

System Properties Comparison JanusGraph vs. Netezza

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.34
Rank#116  Overall
#7  Graph DBMS
Score18.65
Rank#33  Overall
#20  Relational DBMS
Websitejanusgraph.orgwww.ibm.com/­analytics/­netezza
Technical documentationdocs.janusgraph.org
DeveloperLinux Foundation; originally developed as Titan by AureliusIBM
Initial release20172000
Current release0.5.2, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Unix
Windows
Linux infoincluded in appliance
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics engineyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept

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More resources
JanusGraph infosuccessor of TitanNetezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

What & why: Graph machine learning in distributed systems
16 March 2020, Ericsson

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNet

The World's Most Capable Graph Database, Nebula Graph™, Debuts for Unmatched Big Data Analytics Discovery
29 June 2020, PR Web

Comcast, FireEye, Numberly Among Winners of 2019 Scylla User Awards
6 November 2019, GlobeNewswire

provided by Google News

HCL Tech, Google Cloud expand partnership for cloud migration
17 September 2020, Business Standard

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza’s Not Dead: It’s Just Ascended
25 June 2020, Computer Business Review

HCL and Google Cloud expand partnership to deliver accelerated business intelligence platform
16 September 2020, Business Standard

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18 September 2020, Equity Bulls

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