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What is Trino?

Trino is an exceptionally swift query engine engineered for remarkable performance. This high-efficiency, distributed SQL query engine is specifically designed for big data analytics, allowing users to explore their extensive data landscapes. Built for peak efficiency, Trino shines in low-latency analytics and is widely adopted by some of the biggest companies worldwide to execute queries on exabyte-scale data lakes and massive data warehouses. It supports various use cases, such as interactive ad-hoc analytics, long-running batch queries that can extend for hours, and high-throughput applications that demand quick sub-second query responses. Complying with ANSI SQL standards, Trino is compatible with well-known business intelligence tools like R, Tableau, Power BI, and Superset. Additionally, it enables users to query data directly from diverse sources, including Hadoop, S3, Cassandra, and MySQL, thereby removing the burdensome, slow, and error-prone processes related to data copying. This feature allows users to efficiently access and analyze data from different systems within a single query. Consequently, Trino's flexibility and power position it as an invaluable tool in the current data-driven era, driving innovation and efficiency across industries.

What is Starburst Enterprise?

Starburst enables organizations to strengthen their decision-making processes by granting quick access to all their data without the complications associated with transferring or duplicating it. As businesses gather extensive data, their analysis teams frequently experience delays due to waiting for access to necessary information for evaluations. By allowing teams to connect directly to data at its origin, Starburst guarantees they can swiftly and accurately analyze larger datasets without the complications of data movement. The Starburst Enterprise version offers a comprehensive, enterprise-level solution built on the open-source Trino (previously known as Presto® SQL), which comes with full support and is rigorously tested for production environments. This offering not only enhances performance and security but also streamlines the deployment, connection, and management of a Trino setup. By facilitating connections to any data source—whether located on-premises, in the cloud, or within a hybrid cloud framework—Starburst empowers teams to use their favored analytics tools while effortlessly accessing data from diverse locations. This groundbreaking strategy significantly accelerates the time it takes to derive insights, which is crucial for businesses striving to remain competitive in a data-centric landscape. Furthermore, with the constant evolution of data needs, Starburst adapts to provide ongoing support and innovation, ensuring that organizations can continuously optimize their data strategies.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Databricks
Google Cloud Platform
Kubernetes
Microsoft Azure
MySQL
SQL
SecuPi
Tableau
Unity Catalog
WrenAI
Compass
DataClarity Unlimited Analytics
Hue
Kestra
Superset

Integrations Supported

Amazon Web Services (AWS)
Databricks
Google Cloud Platform
Kubernetes
Microsoft Azure
MySQL
SQL
SecuPi
Tableau
Unity Catalog
WrenAI
DRUID
Dell AI-Ready Data Platform
PostgreSQL

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Trino

Company Website

trino.io

Company Facts

Organization Name

Starburst Data

Date Founded

2017

Company Location

United States

Company Website

www.starburst.io/platform/starburst-enterprise/

Categories and Features

Big Data

Not specified

Database

Not specified

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

Big Data

Not specified

Database

Not specified

Query Engines

Not specified

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