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DBMS > Netezza vs. Stardog

System Properties Comparison Netezza vs. Stardog

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsSemantic graph DBMS, developed in Java
Primary database modelRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.19
Rank#33  Overall
#20  Relational DBMS
Score0.81
Rank#166  Overall
#12  Graph DBMS
#7  RDF stores
Websitewww.ibm.com/­analytics/­netezzawww.stardog.com
Technical documentationwww.stardog.com/­docs
DeveloperIBMComplexible Inc.
Initial release20002010
Current release4.2.4, March 2017
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition free
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 infoincluded in applianceAll OS with a Java VM
Data schemeyesschema-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.no infoImport/export of XML data possible
Secondary indexesyesyes
SQL infoSupport of SQLyesSPARQL is used as query language
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP API
OWL
SPARQL
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication in HA-Cluster infousing Apache ZooKeeper
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationships in graphs
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 persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
Netezza infoAlso called PureData System for Analytics by IBMStardog
Recent citations in the news

Google looks to poach workloads for its cloud data warehouse
29 March 2019, TechTarget

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

Netezza SQL: GROUP_CONCAT, REPLACE and the Data Sampling Trick
31 January 2019, Toolbox

Striim and Snowflake Collaborate on Platform that Accelerates Data to the Cloud
16 April 2019, Database Trends and Applications

Netezza And The Limits of the INFORMATION_SCHEMA
29 August 2018, Toolbox

provided by Google News

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