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DBMS > Atos Standard Common Repository vs. Geode vs. Hawkular Metrics vs. InterSystems Caché vs. Percona Server for MongoDB

System Properties Comparison Atos Standard Common Repository vs. Geode vs. Hawkular Metrics vs. InterSystems Caché vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeode  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A multi-model DBMS and application serverA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeode.apache.orgwww.hawkular.orgwww.intersystems.com/­products/­cachewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationgeode.apache.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.intersystems.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperAtos Convergence CreatorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Community supported by Red HatInterSystemsPercona
Initial release20162002201419972015
Current release17031.1, February 20172018.1.4, May 20203.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercialOpen Source infoGPL Version 2
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 languageJavaJavaJavaC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freedepending on used data modelschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnonoyesno
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnoSQL-like query language (OQL)noyesno
APIs and other access methodsLDAPJava Client API
Memcached protocol
RESTful HTTP API
HTTP REST.NET Client API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesAll languages with LDAP bindings.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
Python
Ruby
C#
C++
Java
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnouser defined functionsnoyesJavaScript
Triggersyesyes infoCache Event Listenersyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes, on a single nodenoACIDno
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.yesyesnoyesyes infovia In-Memory Engine
User concepts infoAccess controlLDAP bind authenticationAccess rights per client and object definablenoAccess rights for users, groups and rolesAccess rights for users and roles

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More resources
Atos Standard Common RepositoryGeodeHawkular MetricsInterSystems CachéPercona Server for MongoDB
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