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DBMS > Kdb vs. SingleStore vs. SiteWhere vs. SQream DB

System Properties Comparison Kdb vs. SingleStore vs. SiteWhere vs. SQream DB

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSiteWhere  Xexclude from comparisonSQream DB  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 typeM2M integration platform for persisting/querying time series dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSTime Series 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
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitekx.comwww.singlestore.comgithub.com/­sitewhere/­sitewheresqream.com
Technical documentationcode.kx.comdocs.singlestore.comsitewhere1.sitewhere.io/­index.htmldocs.sqream.com
DeveloperKx Systems, a division of First Derivatives plcSingleStore Inc.SiteWhereSQream Technologies
Initial release2000 infokdb was released 2000, kdb+ in 2003201320102017
Current release3.6, May 20188.5, January 20242022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercial infofree developer edition availableOpen Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++, GoJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux info64 bit version requiredLinux
OS X
Windows
Linux
Data schemeyesyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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'yesnono
SQL infoSupport of SQLSQL-like query language (q)yes infobut no triggers and foreign keysnoyes
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
HTTP REST.Net
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
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions in Python
Triggersyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infohash partitioningSharding infobased on HBasehorizontal and vertical partitioning
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 nodesselectable replication factor infobased on HBasenone
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 calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyes
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 rolesUsers with fine-grained authorization concept
More information provided by the system vendor
KdbSingleStore infoformer name was MemSQLSiteWhereSQream DB
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
KdbSingleStore infoformer name was MemSQLSiteWhereSQream DB
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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