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DBMS > Atos Standard Common Repository vs. Citus vs. Manticore Search vs. Memcached

System Properties Comparison Atos Standard Common Repository vs. Citus vs. Manticore Search vs. Memcached

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonManticore Search  Xexclude from comparisonMemcached  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 networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLMulti-storage database for search, including full-text search.In-memory key-value store, originally intended for caching
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineKey-value store
Secondary database modelsDocument storeTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score19.42
Rank#32  Overall
#4  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.commanticoresearch.comwww.memcached.org
Technical documentationdocs.citusdata.commanual.manticoresearch.comgithub.com/­memcached/­memcached/­wiki
DeveloperAtos Convergence CreatorsManticore SoftwareDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2016201020172003
Current release17038.1, December 20186.0, February 20231.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Source infoGPL version 2Open Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++C
Server operating systemsLinuxLinuxFreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsyesFixed schemaschema-free
Typing infopredefined data types such as float or dateoptionalyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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.yesyes infospecific XML type available, but no XML query functionalityCan index from XML
Secondary indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsSQL-like query languageno
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary protocol
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsSynchronous replication based on Galera librarynone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.no
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 authenticationfine grained access rights according to SQL-standardnoyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Atos Standard Common RepositoryCitusManticore SearchMemcached
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