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DBMS > Atos Standard Common Repository vs. Drizzle vs. FatDB vs. Kinetica vs. searchxml

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. FatDB vs. Kinetica vs. searchxml

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonKinetica  Xexclude from comparisonsearchxml  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded 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 networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Fully vectorized database across both GPUs and CPUsDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Key-value store
Relational DBMSNative XML DBMS
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.kinetica.comwww.searchxml.net/­category/­products
Technical documentationdocs.kinetica.comwww.searchxml.net/­support/­handouts
DeveloperAtos Convergence CreatorsDrizzle project, originally started by Brian AkerFatCloudKineticainformationpartners gmbh
Initial release20162008201220122015
Current release17037.2.4, September 20127.1, August 20211.0
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercialcommercial
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, C++C++
Server operating systemsLinuxFreeBSD
Linux
OS X
WindowsLinuxWindows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsno infoVia inetgration in SQL ServerSQL-like DML and DDL statementsno
APIs and other access methodsLDAPJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesAll languages with LDAP bindingsC
C++
Java
PHP
C#C++
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnonoyes infovia applicationsuser defined functionsyes infoon the application server
Triggersyesno infohooks for callbacks inside the server can be used.yes infovia applicationsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsAccess rights for users and roles on table levelDomain, group and role-based access control at the document level and for application services

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More resources
Atos Standard Common RepositoryDrizzleFatDBKineticasearchxml
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