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DBMS > Drizzle vs. FatDB vs. Kinetica vs. Quasardb vs. searchxml

System Properties Comparison Drizzle vs. FatDB vs. Kinetica vs. Quasardb vs. searchxml

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparisonsearchxml  Xexclude from comparison
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.
DescriptionMySQL 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 CPUsDistributed, high-performance timeseries databaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series 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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.kinetica.comquasar.aiwww.searchxml.net/­category/­products
Technical documentationdocs.kinetica.comdoc.quasar.ai/­masterwww.searchxml.net/­support/­handouts
DeveloperDrizzle project, originally started by Brian AkerFatCloudKineticaquasardbinformationpartners gmbh
Initial release20082012201220092015
Current release7.2.4, September 20127.1, August 20213.14.1, January 20241.0
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 languageC++C#C, C++C++C++
Server operating systemsFreeBSD
Linux
OS X
WindowsLinuxBSD
Linux
OS X
Windows
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nonoyes
Secondary indexesyesyesyesyes infowith tagsyes
SQL infoSupport of SQLyes infowith proprietary extensionsno infoVia inetgration in SQL ServerSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
RESTful HTTP API
HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C++
Java
PHP
C#C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyes infovia applicationsuser defined functionsnoyes infoon the application server
Triggersno 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 rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorSource-replica replicationSource-replica replication with selectable replication factoryes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infoTransient modeno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsAccess rights for users and roles on table levelCryptographically strong user authentication and audit trailDomain, group and role-based access control at the document level and for application services

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More resources
DrizzleFatDBKineticaQuasardbsearchxml
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