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DBMS > Atos Standard Common Repository vs. BaseX vs. ObjectBox vs. Splice Machine vs. Teradata Aster

System Properties Comparison Atos Standard Common Repository vs. BaseX vs. ObjectBox vs. Splice Machine vs. Teradata Aster

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBaseX  Xexclude from comparisonObjectBox  Xexclude from comparisonSplice Machine  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Extremely fast embedded database for small devices, IoT and MobileOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Native XML DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybasex.orgobjectbox.iosplicemachine.com
Technical documentationdocs.basex.orgdocs.objectbox.iosplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsBaseX GmbHObjectBox LimitedSplice MachineTeradata
Initial release20162007201720142005
Current release170311.0, June 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++Java
Server operating systemsLinuxLinux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateoptionalno infoXQuery supports typesyesyesyes
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.yesnoyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsLDAPJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Proprietary native APIJDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesnoyes infoJavaR packages
Triggersyesyes infovia eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsmultiple readers, single writerACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization concept on 4 levelsyesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryBaseXObjectBoxSplice MachineTeradata Aster
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