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DBMS > Atos Standard Common Repository vs. GigaSpaces vs. Memcached vs. Postgres-XL vs. SiriDB

System Properties Comparison Atos Standard Common Repository vs. GigaSpaces vs. Memcached vs. Postgres-XL vs. SiriDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMemcached  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSiriDB  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 TransactionsIn-memory key-value store, originally intended for cachingBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen Source Time Series DBMS
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
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
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comwww.memcached.orgwww.postgres-xl.orgsiridb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­memcached/­memcached/­wikiwww.postgres-xl.org/­documentationdocs.siridb.com
DeveloperAtos Convergence CreatorsGigaspaces TechnologiesDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalCesbit
Initial release2016200020032014 infosince 2012, originally named StormDB2017
Current release170315.5, September 20201.6.25, March 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoBSD licenseOpen Source infoMozilla public licenseOpen Source infoMIT License
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 languageJavaJava, C++, .NetCCC
Server operating systemsLinuxLinux
macOS
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
macOS
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesnoyesyes infoNumeric data
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
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnoyes infodistributed, parallel query executionno
APIs and other access methodsLDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Proprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnouser defined functionsno
Triggersyesyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
none infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationRole-based access controlyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardsimple rights management via user accounts

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More resources
Atos Standard Common RepositoryGigaSpacesMemcachedPostgres-XLSiriDB
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