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DBMS > Kdb vs. mSQL vs. PouchDB vs. Spark SQL vs. Transbase

System Properties Comparison Kdb vs. mSQL vs. PouchDB vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionHigh performance Time Series DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsRelational 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
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitekx.comhughestech.com.au/­products/­msqlpouchdb.comspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationcode.kx.compouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperKx Systems, a division of First Derivatives plcHughes TechnologiesApache Software FoundationApache Software FoundationTransaction Software GmbH
Initial release2000 infokdb was released 2000, kdb+ in 20031994201220141987
Current release3.6, May 20184.4, October 20217.1.1, June 20193.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqCJavaScriptScalaC and C++
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yesnononono
Secondary indexesyes infotable attribute 'grouped'yesyes infovia viewsnoyes
SQL infoSupport of SQLSQL-like query language (q)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
JavaScriptJava
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoView functions in JavaScriptnoyes
Triggersyes infowith viewsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoyes
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnono
User concepts infoAccess controlrights management via user accountsnononofine grained access rights according to SQL-standard
More information provided by the system vendor
KdbmSQL infoMini SQLPouchDBSpark SQLTransbase
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
KdbmSQL infoMini SQLPouchDBSpark SQLTransbase
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