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DBMS > InfluxDB vs. Machbase Neo vs. Trino

System Properties Comparison InfluxDB vs. Machbase Neo vs. Trino

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsTimeSeries DBMS for AIoT and BigDataFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument 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
Score23.59
Rank#28  Overall
#1  Time Series DBMS
Score0.04
Rank#356  Overall
#36  Time Series DBMS
Score5.44
Rank#59  Overall
#34  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewmachbase.comtrino.io
Technical documentationdocs.influxdata.com/­influxdbmachbase.com/­dbmstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperMachbaseTrino Software Foundation
Initial release201320132012 info2020 rebranded from PrestoSQL
Current release2.7.6, April 2024V8.0, August 2023
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree test version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
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 languageGoCJava
Server operating systemsLinux
OS X infothrough Homebrew
Linux
macOS
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric 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.nonono
Secondary indexesnoyesdepending on connected data-source
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes
APIs and other access methodsHTTP API
JSON over UDP
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
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
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyselectable replication factordepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnodepending 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 engineyes infovolatile and lookup table
User concepts infoAccess controlsimple rights management via user accountssimple password-based access controlSQL standard access control
More information provided by the system vendor
InfluxDBMachbase Neo infoFormer name was InfinifluxTrino
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...
» more
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
News

Java Time Duration: A How-To Guide
19 July 2024

Unified Namespace and InfluxDB: Streamlining IIoT Operations for Industry 4
17 July 2024

Java Date Format: A Detailed Guide
12 July 2024

Optimizing Space Technology: Fast Data Access with InfluxDB and Apache Parquet
10 July 2024

Dealing with Mountains of IoT Data: An IIoT World Webinar Reflection
3 July 2024

62: A lakehouse that simply works at Prezi
11 July 2024

Announcing Trino Summit 2024
11 July 2024

Trino Fest 2024 recap
24 June 2024

61: Trino powers business intelligence
20 June 2024

One busy week to go before Trino Fest 2024
6 June 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.

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More resources
InfluxDBMachbase Neo infoFormer name was InfinifluxTrino
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
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, Business Wire

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

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

Starburst Brings Dataframes Into Trino Platform
7 September 2023, Datanami

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



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