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DBMS > Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. Sphinx vs. WakandaDB

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. Sphinx vs. WakandaDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleMicrosoft 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 search engine for searching in data from different sources, e.g. relational databasesWakandaDB 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 DBMSRelational DBMSSearch engineObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.comwakanda.github.io
Technical documentationdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docswakanda.github.io/­doc
DeveloperAtos Convergence CreatorsGeoSpockMicrosoftSphinx Technologies Inc.Wakanda SAS
Initial release2016199220012012
Current release17032.0, September 20191902 (16.0.11328.20222), March 20193.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended 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 languageJavaJava, JavascriptC++C++C++, JavaScript
Server operating systemsLinuxhostedWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesnoyes
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 indexesyestemporal, categoricalyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)no
APIs and other access methodsLDAPJDBCADO.NET
DAO
ODBC
OLE DB
Proprietary protocolRESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenoyes
Triggersyesnoyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003noyes

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More resources
Atos Standard Common RepositoryGeoSpockMicrosoft AccessSphinxWakandaDB
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