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DBMS > Atos Standard Common Repository vs. mSQL vs. Newts vs. OrigoDB vs. Spark SQL

System Properties Comparison Atos Standard Common Repository vs. mSQL vs. Newts vs. OrigoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNewts  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  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 networksmSQL (Mini SQL) is a simple and lightweight RDBMSTime Series DBMS based on CassandraA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhughestech.com.au/­products/­msqlopennms.github.io/­newtsorigodb.comspark.apache.org/­sql
Technical documentationgithub.com/­OpenNMS/­newts/­wikiorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsHughes TechnologiesOpenNMS GroupRobert Friberg et alApache Software Foundation
Initial release2016199420142009 infounder the name LiveDB2014
Current release17034.4, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0
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 languageJavaCJavaC#Scala
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesyesUser defined using .NET types and collectionsyes
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.yesnonono infocan be achieved using .NETno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnonoSQL-like DML and DDL statements
APIs and other access methodsLDAPJDBC
ODBC
HTTP REST
Java API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C++
Delphi
Java
Perl
PHP
Tcl
Java.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresnononoyesno
Triggersyesnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infobased on CassandraSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesno
User concepts infoAccess controlLDAP bind authenticationnonoRole based authorizationno

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More resources
Atos Standard Common RepositorymSQL infoMini SQLNewtsOrigoDBSpark SQL
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