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DBMS > Atos Standard Common Repository vs. GigaSpaces vs. HBase vs. Prometheus

System Properties Comparison Atos Standard Common Repository vs. GigaSpaces vs. HBase vs. Prometheus

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHBase  Xexclude from comparisonPrometheus  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 TransactionsWide-column store based on Apache Hadoop and on concepts of BigTableOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Wide column storeTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comhbase.apache.orgprometheus.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlhbase.apache.org/­book.htmlprometheus.io/­docs
DeveloperAtos Convergence CreatorsGigaspaces TechnologiesApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2016200020082015
Current release170315.5, September 20202.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetJavaGo
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateoptionalyesoptions to bring your own types, AVRONumeric data only
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 metadatanono infoImport of XML data possible
Secondary indexesyesyesnono
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnono
APIs and other access methodsLDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infoCoprocessors in Javano
Triggersyesyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesno
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 or Eventual Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
Atos Standard Common RepositoryGigaSpacesHBasePrometheus
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