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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGridGain  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 networksGridGain is an in-memory computing platform, built on Apache IgniteMulti-storage database for search, including full-text search.In-memory key-value store, originally intended for caching
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Search engineKey-value store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  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.gridgain.commanticoresearch.comwww.memcached.org
Technical documentationwww.gridgain.com/­docs/­index.htmlmanual.manticoresearch.comgithub.com/­memcached/­memcached/­wiki
DeveloperAtos Convergence CreatorsGridGain Systems, Inc.Manticore SoftwareDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2016200720172003
Current release1703GridGain 8.5.16.0, February 20231.6.25, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen 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 languageJavaJava, C++, .NetC++C
Server operating systemsLinuxLinux
OS X
Solaris
Windows
FreeBSD
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.yesyesCan index from XML
Secondary indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query languageno
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary protocol
Supported programming languagesAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
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 proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersyesyes (cache interceptors and events)nono
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 nodesyesyes (replicated cache)Synchronous replication based on Galera librarynone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononono
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.yesyes
User concepts infoAccess controlLDAP bind authenticationSecurity Hooks for custom implementationsnoyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Atos Standard Common RepositoryGridGainManticore SearchMemcached
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