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DBMS > Atos Standard Common Repository vs. Geode vs. Google Cloud Firestore vs. Hawkular Metrics vs. InterSystems Caché

System Properties Comparison Atos Standard Common Repository vs. Geode vs. Google Cloud Firestore vs. Hawkular Metrics vs. InterSystems Caché

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterSystems Caché  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 processesCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A multi-model DBMS and application server
Primary database modelDocument store
Key-value store
Key-value storeDocument storeTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
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
Score7.36
Rank#53  Overall
#9  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeode.apache.orgfirebase.google.com/­products/­firestorewww.hawkular.orgwww.intersystems.com/­products/­cache
Technical documentationgeode.apache.org/­docsfirebase.google.com/­docs/­firestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.intersystems.com
DeveloperAtos Convergence CreatorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleCommunity supported by Red HatInterSystems
Initial release20162002201720141997
Current release17031.1, February 20172018.1.4, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freedepending on used data model
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.yesnononoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnoSQL-like query language (OQL)nonoyes
APIs and other access methodsLDAPJava Client API
Memcached protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP REST.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
Python
Ruby
C#
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsyes, Firebase Rules & Cloud Functionsnoyes
Triggersyesyes infoCache Event Listenersyes, with Cloud Functionsyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replicationselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes, on a single nodeyesnoACID
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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.noAccess rights for users, groups and roles

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More resources
Atos Standard Common RepositoryGeodeGoogle Cloud FirestoreHawkular MetricsInterSystems Caché
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