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DBMS > Atos Standard Common Repository vs. Cachelot.io vs. FatDB vs. Quasardb vs. Solr

System Properties Comparison Atos Standard Common Repository vs. Cachelot.io vs. FatDB vs. Quasardb vs. Solr

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCachelot.io  Xexclude from comparisonFatDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksIn-memory caching systemA .NET NoSQL DBMS that can integrate with and extend SQL Server.Distributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Key-value storeDocument store
Key-value store
Time Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycachelot.ioquasar.aisolr.apache.org
Technical documentationdoc.quasar.ai/­mastersolr.apache.org/­resources.html
DeveloperAtos Convergence CreatorsFatCloudquasardbApache Software Foundation
Initial release20162015201220092006
Current release17033.14.1, January 20249.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD Licensecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#C++Java
Server operating systemsLinuxFreeBSD
Linux
OS X
WindowsBSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptionalnoyesyes infointeger and binaryyes infosupports customizable data types and automatic typing
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.yesnonoyes
Secondary indexesyesnoyesyes infowith tagsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonono infoVia inetgration in SQL ServerSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsLDAPMemcached protocol.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infovia applicationsnoJava plugins
Triggersyesnoyes infovia applicationsnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factorSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes
User concepts infoAccess controlLDAP bind authenticationnono infoCan implement custom security layer via applicationsCryptographically strong user authentication and audit trailyes

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More resources
Atos Standard Common RepositoryCachelot.ioFatDBQuasardbSolr
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