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DBMS > Atos Standard Common Repository vs. Spark SQL vs. SQLite

System Properties Comparison Atos Standard Common Repository vs. Spark SQL vs. SQLite

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  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 networksSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMS
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.86
Rank#35  Overall
#21  Relational DBMS
Score134.73
Rank#10  Overall
#7  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryspark.apache.org/­sqlwww.sqlite.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.html
DeveloperAtos Convergence CreatorsApache Software FoundationDwayne Richard Hipp
Initial release201620142000
Current release17033.2.0, October 20213.38.4  (4 May 2022), May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC
Server operating systemsLinuxLinux
OS X
Windows
server-less
Data schemeSchema and schema-less with LDAP viewsyesyes infodynamic column types
Typing infopredefined data types such as float or dateoptionalyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsLDAPJDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages with LDAP bindingsJava
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnonono
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes
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 authenticationnono

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More resources
Atos Standard Common RepositorySpark SQLSQLite
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