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DBMS > Atos Standard Common Repository vs. GigaSpaces vs. Netezza vs. Postgres-XL vs. Rockset

System Properties Comparison Atos Standard Common Repository vs. GigaSpaces vs. Netezza vs. Postgres-XL vs. Rockset

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRockset  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comwww.ibm.com/­products/­netezzawww.postgres-xl.orgrockset.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.postgres-xl.org/­documentationdocs.rockset.com
DeveloperAtos Convergence CreatorsGigaspaces TechnologiesIBMRockset
Initial release2016200020002014 infosince 2012, originally named StormDB2019
Current release170315.5, September 202010 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetCC++
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux infoincluded in applianceLinux
macOS
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesdynamic typing
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.yesno infoXML can be used for describing objects metadatayes infoXML type, but no XML query functionalityno infoingestion from XML files supported
Secondary indexesyesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyesyes infodistributed, parallel query executionRead-only SQL queries, including JOINs
APIs and other access methodsLDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyesuser defined functionsno
Triggersyesyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardinghorizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID infoMVCCno
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.yesyesno
User concepts infoAccess controlLDAP bind authenticationRole-based access controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Atos Standard Common RepositoryGigaSpacesNetezza infoAlso called PureData System for Analytics by IBMPostgres-XLRockset
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