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DBMS > GridGain vs. Kinetica vs. Quasardb vs. searchxml

System Properties Comparison GridGain vs. Kinetica vs. Quasardb vs. searchxml

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries databaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
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
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.gridgain.comwww.kinetica.comquasar.aiwww.searchxml.net/­category/­products
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.kinetica.comdoc.quasar.ai/­masterwww.searchxml.net/­support/­handouts
DeveloperGridGain Systems, Inc.Kineticaquasardbinformationpartners gmbh
Initial release2007201220092015
Current releaseGridGain 8.5.17.1, August 20213.14.1, January 20241.0
License infoCommercial or Open Sourcecommercial, open sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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 languageJava, C++, .Net, Python, REST, SQLC, C++C++C++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
LinuxBSD
Linux
OS X
Windows
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.yesnonoyes
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
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 proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsnoyes infoon the application server
Triggersyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationSource-replica replication with selectable replication factoryes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes infoTransient modeno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Access 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
GridGainKineticaQuasardbsearchxml
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