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

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

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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 comparisonSequoiadb  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 databaseNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Relational 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
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Websitewww.kinetica.comazure.microsoft.com/­services/­synapse-analyticsquasar.aiwww.sequoiadb.com
Technical documentationdocs.kinetica.comdocs.microsoft.com/­azure/­synapse-analyticsdoc.quasar.ai/­masterwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperKineticaMicrosoftquasardbSequoiadb Ltd.
Initial release2012201620092013
Current release7.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoServer: AGPL; Client: Apache V2
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
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes infooid, date, timestamp, binary, regex
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.nononono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP APIproprietary protocol using JSON
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsTransact SQLnoJavaScript
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 hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication with selectable replication factorSource-replica replication
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 ConsistencyEventual 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 datanoACIDACIDDocument is locked during a transaction
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 trailsimple password-based access control

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More resources
KineticaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuasardbSequoiadb
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