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DBMS > InfluxDB vs. Kdb vs. OrigoDB vs. Trino

System Properties Comparison InfluxDB vs. Kdb vs. OrigoDB vs. Trino

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonKdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsHigh performance Time Series DBMSA fully ACID in-memory object graph databaseFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSTime Series DBMS
Vector DBMS
Document store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewkx.comorigodb.comtrino.io
Technical documentationdocs.influxdata.com/­influxdbcode.kx.comorigodb.com/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperKx Systems, a division of First Derivatives plcRobert Friberg et alTrino Software Foundation
Initial release20132000 infokdb was released 2000, kdb+ in 20032009 infounder the name LiveDB2012 info2020 rebranded from PrestoSQL
Current release2.7.6, April 20243.6, May 2018
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree 32-bit versionOpen SourceOpen Source infoApache Version 2.0
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageGoqC#Java
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateNumeric data and StringsyesUser defined using .NET types and collectionsyes
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.noyesno infocan be achieved using .NETno
Secondary indexesnoyes infotable attribute 'grouped'yesdepending on connected data-source
SQL infoSupport of SQLSQL-like query languageSQL-like query language (q)noyes
APIs and other access methodsHTTP API
JSON over UDP
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.NET Client API
HTTP API
LINQ
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.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
.NetGo
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyesyes, depending on connected data-source
Triggersnoyes infowith viewsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyhorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronizeddepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logdepending on connected data-source
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 controlsimple rights management via user accountsrights management via user accountsRole based authorizationSQL standard access control
More information provided by the system vendor
InfluxDBKdbOrigoDBTrino
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...
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Trino is the fastest open source, massively parallel processing SQL query engine...
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Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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High performance analtyics and data processing of very large data sets Powerful ANSI...
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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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Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
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
Trino is widely adopted across the globe as freely-available open source software....
» 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
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
upon request
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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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.

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More resources
InfluxDBKdbOrigoDBTrino
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

show all

Recent citations in the news

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