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DBMS > Atos Standard Common Repository vs. Microsoft Access vs. Rockset vs. Splice Machine vs. WakandaDB

System Properties Comparison Atos Standard Common Repository vs. Microsoft Access vs. Rockset vs. Splice Machine vs. WakandaDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRockset  Xexclude from comparisonSplice Machine  Xexclude from comparisonWakandaDB  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 networksMicrosoft 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.)A scalable, reliable search and analytics service in the cloud, built on RocksDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeRelational DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score92.15
Rank#12  Overall
#8  Relational DBMS
Score1.05
Rank#181  Overall
#31  Document stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.03
Rank#361  Overall
#17  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.microsoft.com/­en-us/­microsoft-365/­accessrockset.comsplicemachine.comwakanda.github.io
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.rockset.comsplicemachine.com/­how-it-workswakanda.github.io/­doc
DeveloperAtos Convergence CreatorsMicrosoftRocksetSplice MachineWakanda SAS
Initial release20161992201920142012
Current release17031902 (16.0.11328.20222), March 20193.1, March 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++JavaC++, JavaScript
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLshostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesdynamic typingyesyes
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.yesno infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardRead-only SQL queries, including JOINsyesno
APIs and other access methodsLDAPADO.NET
DAO
ODBC
OLE DB
HTTP RESTJDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenoyes infoJavayes
Triggersyesyes infosince Access 2010 using the ACE-enginenoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infobut no files for transaction loggingnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationno infoa simple user-level security was built in till version Access 2003Access rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standardyes

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More resources
Atos Standard Common RepositoryMicrosoft AccessRocksetSplice MachineWakandaDB
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