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DBMS > Kinetica vs. Microsoft Azure Synapse Analytics vs. Quasardb vs. searchxml

System Properties Comparison Kinetica vs. Microsoft Azure Synapse Analytics vs. Quasardb vs. searchxml

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuasardb  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDistributed, high-performance timeseries databaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSRelational 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
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.kinetica.comazure.microsoft.com/­services/­synapse-analyticsquasar.aiwww.searchxml.net/­category/­products
Technical documentationdocs.kinetica.comdocs.microsoft.com/­azure/­synapse-analyticsdoc.quasar.ai/­masterwww.searchxml.net/­support/­handouts
DeveloperKineticaMicrosoftquasardbinformationpartners gmbh
Initial release2012201620092015
Current release7.1, August 20213.14.1, January 20241.0
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++C++
Server operating systemsLinuxhostedBSD
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.nononoyes
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functionsTransact SQLnoyes infoon the application server
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication with selectable replication factoryes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDmultiple 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.yes infoGPU vRAM or System RAMyes infoTransient modeno
User concepts infoAccess controlAccess rights for users and roles on table levelyesCryptographically 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
KineticaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuasardbsearchxml
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