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DBMS > Kdb vs. Microsoft Azure Synapse Analytics vs. PlanetScale vs. Sequoiadb

System Properties Comparison Kdb vs. Microsoft Azure Synapse Analytics vs. PlanetScale vs. Sequoiadb

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPlanetScale  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionHigh performance Time Series DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, distributed, serverless MySQL database platform built on top of VitessNewSQL database with distributed OLTP and SQL
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitekx.comazure.microsoft.com/­services/­synapse-analyticsplanetscale.comwww.sequoiadb.com
Technical documentationcode.kx.comdocs.microsoft.com/­azure/­synapse-analyticsplanetscale.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperKx Systems, a division of First Derivatives plcMicrosoftPlanetScaleSequoiadb Ltd.
Initial release2000 infokdb was released 2000, kdb+ in 2003201620202013
Current release3.6, May 2018
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++GoC++
Server operating systemsLinux
OS X
Solaris
Windows
hostedDocker
Linux
macOS
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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.yesnono
Secondary indexesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like query language (q)yesyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsTransact SQLyes infoproprietary syntaxJavaScript
Triggersyes infowith viewsnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.yesyesno
User concepts infoAccess controlrights management via user accountsyesUsers with fine-grained authorization concept infono user groups or rolessimple password-based access control
More information provided by the system vendor
KdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePlanetScaleSequoiadb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
KdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePlanetScaleSequoiadb
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