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DBMS > BaseX vs. InfluxDB vs. Kdb vs. Linter vs. MySQL

System Properties Comparison BaseX vs. InfluxDB vs. Kdb vs. Linter vs. MySQL

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonInfluxDB  Xexclude from comparisonKdb  Xexclude from comparisonLinter  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.DBMS for storing time series, events and metricsHigh performance Time Series DBMSRDBMS for high security requirementsWidely used open source RDBMS
Primary database modelNative XML DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMSSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Websitebasex.orgwww.influxdata.com/­products/­influxdb-overviewkx.comlinter.ruwww.mysql.com
Technical documentationdocs.basex.orgdocs.influxdata.com/­influxdbcode.kx.comdev.mysql.com/­doc
DeveloperBaseX GmbHKx Systems, a division of First Derivatives plcrelex.ruOracle infosince 2010, originally MySQL AB, then Sun
Initial release200720132000 infokdb was released 2000, kdb+ in 200319901995
Current release11.0, June 20242.7.6, April 20243.6, May 20188.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree 32-bit versioncommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
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.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaGoqC and C++C and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesNumeric data and Stringsyesyesyes
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.noyesnoyes
Secondary indexesyesnoyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (q)yesyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
HTTP API
JSON over UDP
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnouser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLyes infoproprietary syntax
Triggersyes infovia eventsnoyes infowith viewsyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlyhorizontal partitioningnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernonoACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelssimple rights management via user accountsrights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
BaseXInfluxDBKdbLinterMySQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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tick database streaming sensor data massive intelligence applications oil and gas...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
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upon request
» more
News

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6 June 2024

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4 June 2024

Monitoring Your Cloud Environments and Applications with InfluxDB
30 May 2024

Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS
29 May 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BaseXInfluxDBKdbLinterMySQL
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

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