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DBMS > Atos Standard Common Repository vs. EsgynDB vs. NuoDB vs. Splice Machine vs. VoltDB

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEsgynDB  Xexclude from comparisonNuoDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonVoltDB  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 networksEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.esgyn.cnwww.3ds.com/­nuodb-distributed-sql-databasesplicemachine.comwww.voltdb.com
Technical documentationdoc.nuodb.comsplicemachine.com/­how-it-worksdocs.voltdb.com
DeveloperAtos Convergence CreatorsEsgynDassault Systèmes infooriginally NuoDB, Inc.Splice MachineVoltDB Inc.
Initial release20162015201320142010
Current release17033.1, March 202111.3, April 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageJavaC++, JavaC++JavaJava, C++
Server operating systemsLinuxLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
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.yesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyesyesyes infoonly a subset of SQL 99
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresJava, SQLyes infoJavaJava
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingdata is dynamically stored/cached on the nodes where it is read/writtenShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infotunable commit protocolACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes, multi-version concurrency control (MVCC)yes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTemporary tableyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standardUsers and roles with access to stored procedures

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More resources
Atos Standard Common RepositoryEsgynDBNuoDBSplice MachineVoltDB
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