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DBMS > Kdb vs. SingleStore vs. Spark SQL

System Properties Comparison Kdb vs. SingleStore vs. Spark SQL

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHigh performance Time Series DBMSMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.27
Rank#52  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score6.11
Rank#65  Overall
#37  Relational DBMS
Score19.78
Rank#36  Overall
#22  Relational DBMS
Websitekx.comwww.singlestore.comspark.apache.org/­sql
Technical documentationcode.kx.comdocs.singlestore.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperKx Systems, a division of First Derivatives plcSingleStore Inc.Apache Software Foundation
Initial release2000 infokdb was released 2000, kdb+ in 200320132014
Current release3.6, May 20188.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageqC++, GoScala
Server operating systemsLinux
OS X
Solaris
Windows
Linux info64 bit version requiredLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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'yesno
SQL infoSupport of SQLSQL-like query language (q)yes infobut no triggers and foreign keysSQL-like DML and DDL statements
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infohash partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
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 accountsFine grained access control via users, groups and rolesno
More information provided by the system vendor
KdbSingleStore infoformer name was MemSQLSpark SQL
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Customers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsupon request
» more
F ree Tier and Enterprise Edition
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More resources
KdbSingleStore infoformer name was MemSQLSpark SQL
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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