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DBMS > Atos Standard Common Repository vs. IBM Cloudant vs. LevelDB vs. Microsoft Access vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. IBM Cloudant vs. LevelDB vs. Microsoft Access vs. Splice Machine

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  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 networksDatabase as a Service offering based on Apache CouchDBEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft 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.)Open-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
Document storeKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#95  Overall
#18  Document stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­cloudantgithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accesssplicemachine.com
Technical documentationcloud.ibm.com/­docs/­Cloudantgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014GoogleMicrosoftSplice Machine
Initial release20162010201119922014
Current release17031.23, February 20211902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC++C++Java
Server operating systemsLinuxhostedIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnonoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLnononoyes infobut not compliant to any SQL standardyes
APIs and other access methodsLDAPRESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptnoyes infosince Access 2010 using the ACE-engineyes infoJava
Triggersyesyesnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
nonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoatomic operations within a document possiblenoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes 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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per databasenono infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryIBM CloudantLevelDBMicrosoft AccessSplice Machine
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