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DBMS > gStore vs. Netezza vs. Riak TS vs. SiriDB vs. SpaceTime

System Properties Comparison gStore vs. Netezza vs. Riak TS vs. SiriDB vs. SpaceTime

Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak TS  Xexclude from comparisonSiriDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.Data warehouse and analytics appliance part of IBM PureSystemsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen Source Time Series DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSTime Series DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteen.gstore.cnwww.ibm.com/­products/­netezzasiridb.comwww.mireo.com/­spacetime
Technical documentationen.gstore.cn/­#/­enDocswww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.siridb.com
DeveloperIBMOpen Source, formerly Basho TechnologiesCesbitMireo
Initial release20162000201520172020
Current release1.2, November 20233.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen SourceOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangCC++
Server operating systemsLinuxLinux infoincluded in applianceLinux
OS X
LinuxLinux
Data schemeschema-free and OWL/RDFS-schema supportyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyes infoNumeric datayes
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.nononono
Secondary indexesyesrestrictedyesno
SQL infoSupport of SQLnoyesyes, limitednoA subset of ANSI SQL is implemented
APIs and other access methodsHTTP API
SPARQL 1.1
JDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
HTTP APIRESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Python
Server-side scripts infoStored proceduresyesyesErlangnono
Triggersnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportedUsers with fine-grained authorization conceptnosimple rights management via user accountsyes

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More resources
gStoreNetezza infoAlso called PureData System for Analytics by IBMRiak TSSiriDBSpaceTime
Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

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

Netezza Performance Server
12 August 2020, IBM

provided by Google News

Best open source databases for IoT applications
26 May 2017, Open Source For You

provided by Google News



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