DBMS > Trino

Trino Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit Trino zu vergleichen.

Unsere Besucher vergleichen Trino oft mit Spark SQL, DuckDB und ClickHouse.

Redaktionelle Informationen bereitgestellt von DB-Engines

Name

Kurzbeschreibung

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Primäres Datenbankmodell

Relational DBMS

Sekundäre Datenbankmodelle

Document Store
Key-Value Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Wide Column Store

DB-Engines Ranking misst die Popularität von Datenbankmanagement- systemen
Trend Chart

Punkte	5,10
Rang	#70	Overall
	#38	Relational DBMS

Website

trino.io

Technische Dokumentation

trino.io/broadcast
trino.io/docs/current

Social network pages

Entwickler

Trino Software Foundation

Erscheinungsjahr

2012

2020 rebranded from PrestoSQL

Lizenz

Commercial or Open Source

Open Source

Apache Version 2.0

Ausschließlich ein Cloud-Service

Nur als Cloud-Service verfügbar

nein

DBaaS Angebote (gesponserte Links)

Database 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.

Implementierungssprache

Java

Server Betriebssysteme

Linux
macOS

for devlopment

Datenschema

Typisierung

vordefinierte Datentypen, z.B. float oder date

XML Unterstützung

Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT

nein

Sekundärindizes

depending on connected data-source

SQL

Support of SQL

APIs und andere Zugriffskonzepte

JDBC
RESTful HTTP API
Trino CLI

Unterstützte Programmiersprachen

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Server-seitige Scripts

Stored Procedures

yes, depending on connected data-source

Triggers

nein

Partitionierungsmechanismen

Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten

depending on connected data-source

Replikationsmechanismen

Methoden zum redundanten Speichern von Daten auf mehreren Knoten

depending on connected data-source

MapReduce

Bietet ein API für Map/Reduce Operationen

nein

Konsistenzkonzept

Methoden zur Sicherstellung der Konsistenz in einem verteilten System

depending on connected data-source

Fremdschlüssel

referenzielle Integrität

nein

Transaktionskonzept

Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen

depending on connected data-source

Concurrency

Unterstützung von gleichzeitig ausgeführten Datenmanipulationen

Durability

Dauerhafte Speicherung der Daten

depending on connected data-source

Berechtigungskonzept

Zugriffskontrolle

SQL standard access control

Weitere Informationen bereitgestellt vom Systemhersteller

Specific characteristics

Trino is the fastest open source, massively parallel processing SQL query engine designed for analytics of large datasets distributed over one or more data sources in object storage, databases and other systems. Characteristics include:

Highly performant for OLAP use cases at massive scale, suitable to query terabytes of data
Rich support for standard ANSI SQL queries for all connected data sources (SQL language, SQL statement syntax, Functions and operators)
Numerous connectors to enable querying disparate data sources, including object storage data lakes with Hive, Iceberg, or Delta Lake, RDBMS systems such PostgreSQL, MySQL, other systems such as Elasticsearch, MongoDB, Kafka, Clickhouse, Pinot, and many more
Deployment options include baremetal, virtual machine, and container-based systems

Competitive advantages

High performance analtyics and data processing of very large data sets
Powerful ANSI SQL support
Support for querying any connected data source within the same query
Rich ecosystem of integrations and tools to use

Typical application scenarios

Performant analytics query engine for data warehouses, data lakes, and data lakehouses
Central access point for reporting, dashboarding, and analytics of all connected sources
Embedded query engine in data platform for analytics and data processing workloads

Key customers

Trino is widely adopted across the globe as freely-available open source software. Users include well-known companies such as Amazon, LinkedIn, Lyft, Netflix, Pinterest, Shopify, Stripe and many others. See the user testimonials for more details.

The commercial distributions Starburst Enterprise and Starburst Galaxy are used by customers such as Comcast. Verizon, FINRA, DBS Bank, Lucid, Zalando, and many others.

Trino is the embedded engine in many services including AWS Athena, and others.

Market metrics

33000+ commits in GitHub
8200+ stargazers in GitHub
1200+ pull requests merged in GitHub
4000+ issues created in GitHub
4600+ followers on Twitter
10000+ members in Slack
650+ average weekly members in Slack
1700+ subscribers in YouTube
50 Trino Community Broadcast episodes

Licensing and pricing models

Trino is an open source project and usage is therefore free.

Commercial offerings from Starburst include Starburst Enterprise for self-managed deployments, and the managed software-as-service Starburst Galaxy.

Free trial versions are available for both products. Detailed pricing for commercial usage depends on deployment size and includes metrics like vCPU usage and other details.

Neuigkeiten

A sneak peek of Trino Fest 2024
15. April 2024

Time travel in Delta Lake connector
11. April 2024

58: Understanding your users with Trino and Mitzu
4. April 2024

57: Seeing clearly with OpenTelemetry
14. März 2024

Blazing ahead with 22
13. März 2024

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen

Erwähnungen in aktuellen Nachrichten

Speed Trino Queries with These Performance-Tuning Tips
11. Juli 2023, The New Stack

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

Starburst Brings Dataframes Into Trino Platform
7. September 2023, Datanami

Trino and dbt open source data tools snuggle closer with integrated SaaS
28. April 2023, The Register

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

bereitgestellt von Google News

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