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DBMS > BaseX vs. InfluxDB vs. Kinetica vs. Oracle

System Properties Comparison BaseX vs. InfluxDB vs. Kinetica vs. Oracle

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.DBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUsWidely used RDBMS
Primary database modelNative XML DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Websitebasex.orgwww.influxdata.com/­products/­influxdb-overviewwww.kinetica.comwww.oracle.com/­database
Technical documentationdocs.basex.orgdocs.influxdata.com/­influxdbdocs.kinetica.comdocs.oracle.com/­en/­database
DeveloperBaseX GmbHKineticaOracle
Initial release2007201320121980
Current release10.7, August 20232.7.6, April 20247.1, August 202123c, September 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial inforestricted free version is available
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 languageJavaGoC, C++C and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeschema-freeschema-freeyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateno infoXQuery supports typesNumeric data and Stringsyesyes
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
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++
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresyesnouser defined functionsPL/SQL infoalso stored procedures in Java possible
Triggersyes infovia eventsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlyShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlySource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernonoACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes infoGPU vRAM or System RAMyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelssimple rights management via user accountsAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
BaseXInfluxDBKineticaOracle
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

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30 May 2024

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Using Parquet’s Bloom Filters
28 May 2024

Efficiency Unleashed: Streamlining Workflows with the InfluxDB Management API
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BaseXInfluxDBKineticaOracle
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

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

Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond
25 November 2016, Tony Branson (guest author)

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Conferences, events and webinars

Oracle Cloud World
Las Vegas, 9-12 September 2024

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