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DBMS > Netezza vs. SWC-DB vs. TinkerGraph

System Properties Comparison Netezza vs. SWC-DB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA high performance, scalable Wide Column DBMSA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSWide column storeGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.34
Rank#48  Overall
#30  Relational DBMS
Score0.01
Rank#375  Overall
#13  Wide column stores
Score0.07
Rank#344  Overall
#34  Graph DBMS
Websitewww.ibm.com/­products/­netezzagithub.com/­kashirin-alex/­swc-db
www.swcdb.org
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
DeveloperIBMAlex Kashirin
Initial release200020202009
Current release0.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinux infoincluded in applianceLinux
Data schemeyesschema-freeschema-free
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.nono
Secondary indexesyesno
SQL infoSupport of SQLyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
OLE DB
Proprietary protocol
Thrift
TinkerPop 3
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C++Groovy
Java
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization conceptno

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More resources
Netezza infoAlso called PureData System for Analytics by IBMSWC-DB infoSuper Wide Column DatabaseTinkerGraph
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