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DBMS > Atos Standard Common Repository vs. FatDB vs. JSqlDb vs. Microsoft Access vs. Spark SQL

System Properties Comparison Atos Standard Common Repository vs. FatDB vs. JSqlDb vs. Microsoft Access vs. Spark SQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFatDB  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA .NET NoSQL DBMS that can integrate with and extend SQL Server.JavaScript Query Language Database, stores JavaScript objects and primitivesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Document store
Key-value store
Document store
Object oriented DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryjsqldb.org (offline)www.microsoft.com/­en-us/­microsoft-365/­accessspark.apache.org/­sql
Technical documentationdeveloper.microsoft.com/­en-us/­accessspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsFatCloudKonrad von BackstromMicrosoftApache Software Foundation
Initial release20162012201819922014
Current release17030.8, December 20181902 (16.0.11328.20222), March 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infoBundled with Microsoft OfficeOpen 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 languageJavaC#C++Scala
Server operating systemsLinuxWindowsLinux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesnoyesyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyes infobut not compliant to any SQL standardSQL-like DML and DDL statements
APIs and other access methodsLDAP.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC#JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsfunctions in JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggersyesyes infovia applicationsnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationno infoCan implement custom security layer via applicationsno infoa simple user-level security was built in till version Access 2003no

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More resources
Atos Standard Common RepositoryFatDBJSqlDbMicrosoft AccessSpark SQL
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