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DBMS > Atos Standard Common Repository vs. Firebase Realtime Database vs. Hawkular Metrics vs. Microsoft Azure SQL Database vs. OrigoDB

System Properties Comparison Atos Standard Common Repository vs. Firebase Realtime Database vs. Hawkular Metrics vs. Microsoft Azure SQL Database vs. OrigoDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOrigoDB  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 networksCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering with high compatibility to Microsoft SQL ServerA fully ACID in-memory object graph database
Primary database modelDocument store
Key-value store
Document storeTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­realtime-databasewww.hawkular.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaseorigodb.com
Technical documentationfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­en-us/­azure/­azure-sqlorigodb.com/­docs
DeveloperAtos Convergence CreatorsGoogle infoacquired by Google 2014Community supported by Red HatMicrosoftRobert Friberg et al
Initial release20162012201420102009 infounder the name LiveDB
Current release1703V12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C#
Server operating systemsLinuxhostedLinux
OS X
Windows
hostedLinux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnononoyesno
APIs and other access methodsLDAPAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesAll languages with LDAP bindingsJava
JavaScript
Objective-C
Go
Java
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noTransact SQLyes
TriggersyesCallbacks are triggered when data changesyes infovia Hawkular Alertingyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationyes, based on authentication and database rulesnofine grained access rights according to SQL-standardRole based authorization

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More resources
Atos Standard Common RepositoryFirebase Realtime DatabaseHawkular MetricsMicrosoft Azure SQL Database infoformerly SQL AzureOrigoDB
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