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DBMS > InfluxDB vs. TempoIQ vs. Trino vs. Vitess

System Properties Comparison InfluxDB vs. TempoIQ vs. Trino vs. Vitess

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTrino  Xexclude from comparisonVitess  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionDBMS for storing time series, events and metricsScalable analytics DBMS for sensor data, provided as a service (SaaS)Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewtempoiq.com (offline)trino.iovitess.io
Technical documentationdocs.influxdata.com/­influxdbtrino.io/­broadcast
trino.io/­docs/­current
vitess.io/­docs
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperTempoIQTrino Software FoundationThe Linux Foundation, PlanetScale
Initial release201320122012 info2020 rebranded from PrestoSQL2013
Current release2.7.6, April 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageGoJavaGo
Server operating systemsLinux
OS X infothrough Homebrew
Linux
macOS infofor devlopment
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric 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.nonono
Secondary indexesnodepending on connected data-sourceyes
SQL infoSupport of SQLSQL-like query languagenoyesyes infowith proprietary extensions
APIs and other access methodsHTTP API
JSON over UDP
HTTP APIJDBC
RESTful HTTP API
Trino CLI
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
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 proceduresnonoyes, depending on connected data-sourceyes infoproprietary syntax
Triggersnoyes infoRealtime Alertsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlydepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlydepending on connected data-sourceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on connected data-sourceEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonodepending on connected data-sourceACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenoyes
User concepts infoAccess controlsimple rights management via user accountssimple authentication-based access controlSQL standard access controlUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
InfluxDBTempoIQ infoformerly TempoDBTrinoVitess
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
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...
» more
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
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
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
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.

Related products and services

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More resources
InfluxDBTempoIQ infoformerly TempoDBTrinoVitess
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

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, businesswire.com

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
5 April 2024, VentureBeat

provided by Google News

The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
30 April 2024, The Next Platform

Starburst Brings Dataframes Into Trino Platform
7 September 2023, Datanami

Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost | Amazon ...
4 October 2023, AWS Blog

A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

Trino: The Open-source Data Query Engine That Split from Facebook
30 March 2022, hackernoon.com

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

provided by Google News



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