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DBMS > Kdb vs. PostGIS vs. SingleStore vs. TimescaleDB

System Properties Comparison Kdb vs. PostGIS vs. SingleStore vs. TimescaleDB

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonPostGIS  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionHigh performance Time Series DBMSSpatial extension of PostgreSQLMySQL 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 typeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMS
Vector DBMS
Spatial DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational 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
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitekx.compostgis.netwww.singlestore.comwww.timescale.com
Technical documentationcode.kx.compostgis.net/­documentationdocs.singlestore.comdocs.timescale.com
DeveloperKx Systems, a division of First Derivatives plcSingleStore Inc.Timescale
Initial release2000 infokdb was released 2000, kdb+ in 2003200520132017
Current release3.6, May 20183.4.2, February 20248.5, January 20242.15.0, May 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoGPL v2.0commercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqCC++, GoC
Server operating systemsLinux
OS X
Solaris
Windows
Linux info64 bit version requiredLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.yesyesnoyes
Secondary indexesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like query language (q)yesyes infobut no triggers and foreign keysyes infofull PostgreSQL SQL syntax
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
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infowith viewsyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infobased on PostgreSQLSharding infohash partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on PostgreSQLSource-replica replication infostores two copies of each physical data partition on two separate nodesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyesno
User concepts infoAccess controlrights management via user accountsyes infobased on PostgreSQLFine grained access control via users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
KdbPostGISSingleStore infoformer name was MemSQLTimescaleDB
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
KdbPostGISSingleStore infoformer name was MemSQLTimescaleDB
DB-Engines blog posts

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14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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