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DBMS > Atos Standard Common Repository vs. NuoDB vs. Quasardb vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. NuoDB vs. Quasardb vs. Splice Machine

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonNuoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  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 networksNuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.3ds.com/­nuodb-distributed-sql-databasequasar.aisplicemachine.com
Technical documentationdoc.nuodb.comdoc.quasar.ai/­mastersplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsDassault Systèmes infooriginally NuoDB, Inc.quasardbSplice Machine
Initial release2016201320092014
Current release17033.14.1, January 20243.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license available
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 languageJavaC++C++Java
Server operating systemsLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyes infointeger and binaryyes
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.yesnono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJava, SQLnoyes infoJava
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisiondata is dynamically stored/cached on the nodes where it is read/writtenSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoManaged transparently by NuoDBSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infotunable commit protocolACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary tableyes infoTransient modeyes
User concepts infoAccess controlLDAP bind authenticationStandard SQL roles/ privileges, Administrative UsersCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryNuoDBQuasardbSplice Machine
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