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DBMS > Kinetica vs. Kyligence Enterprise vs. MarkLogic vs. Quasardb

System Properties Comparison Kinetica vs. Kyligence Enterprise vs. MarkLogic vs. Quasardb

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMarkLogic  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA distributed analytics engine for big data, built on top of Apache KylinOperational and transactional Enterprise NoSQL databaseDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitewww.kinetica.comkyligence.io/­kyligence-enterprisewww.progress.com/­marklogicquasar.ai
Technical documentationdocs.kinetica.comwww.progress.com/­marklogic/­documentationdoc.quasar.ai/­master
DeveloperKineticaKyligence, Inc.MarkLogic Corp.quasardb
Initial release2012201620012009
Current release7.1, August 202111.0, December 20223.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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++JavaC++C++
Server operating systemsLinuxLinuxLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.nonoyesno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for queries (using Apache Calcite)yes infoSQL92SQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
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
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes, with Range Indexesyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles on table levelRole-based access control at the document and subdocument levelsCryptographically strong user authentication and audit trail

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More resources
KineticaKyligence EnterpriseMarkLogicQuasardb
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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