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DBMS > Kinetica vs. MarkLogic vs. NCache vs. openGauss

System Properties Comparison Kinetica vs. MarkLogic vs. NCache vs. openGauss

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonNCache  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseOpen-Source and Enterprise in-memory Key-Value StoreAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Search engine infoUsing distributed Lucene
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.96
Rank#195  Overall
#29  Key-value stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitewww.kinetica.comwww.progress.com/­marklogicwww.alachisoft.com/­ncachegitee.com/­opengauss
opengauss.org
Technical documentationdocs.kinetica.comwww.progress.com/­marklogic/­documentationwww.alachisoft.com/­resources/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperKineticaMarkLogic Corp.AlachisoftHuawei and openGauss community
Initial release2012200120052019
Current release7.1, August 202111.0, December 20225.3.3, April 20243.0, March 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoEnterprise Edition availableOpen Source
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 languageC, C++C++C#, .NET, .NET Core, JavaC, C++, Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Linux
Data schemeyesschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL92SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.ANSI SQL 2011
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptno infosupport for stored procedures with SQL-Server CLRyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoNotificationsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyeshorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes, with selectable consistency levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionoptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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, with Range Indexesyesno
User concepts infoAccess controlAccess rights for users and roles on table levelRole-based access control at the document and subdocument levelsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
KineticaMarkLogicNCacheopenGauss
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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KineticaMarkLogicNCacheopenGauss
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