Name: Trino
Author: Open Source

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Web and Video Conferencing

Customer Support

Beta Testing

Cross-Browser Testing

Feature Management

Functional Testing

Performance Testing

Product Analytics

Virtual Reality

Development

Business Intelligence (BI)

Collaboration

Contract Analysis

Emissions Management

Payment Facilitation

Enterprise

Accounting

Accounts Payable

Accounts Receivable

Crypto Tax

Travel Management

Finance and Accounting

ACA Compliance

Applicant Tracking

Compensation Management

Corporate Learning Management

HR Management

Payroll

Relocation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

API Design

Cloud Storage

DevOps

Fraud Detection

Integration Platform as a Service (iPaaS)

Network Performance Monitoring

Privileged Access Management

Software Components

Software Composition Analysis (SCA)

Storage as a Service (STaaS)

Time Series Databases

Vendor Risk Management

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Content Marketing

Data Management

Email Marketing

Marketing Automation

Online Reputation Management

Product Intelligence

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Task Management

Professional Services

Customer Onboarding

Customer Relationship Management (CRM)

eCommerce Analytics

Sales

Cloud Infrastructure Entitlement Management

Virtualization Security

Security

Aviation

Banking

Church Management

Digital Forensics

Fleet Management

Geographic Information

Hospital Management

Insurance Claims Management

Intelligent Document Processing

Internet of Medical Things

Veterinary

eDiscovery

Vertical-Specific

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Trino is a distributed SQL query engine specifically designed for big data analytics. It caters to the needs of data analysts, data scientists, business intelligence professionals, data engineers, and the financial services industry. Trino has the capability to handle exabyte-scale data lakes and massive data warehouses, enabling organizations to efficiently process and query large volumes of data.

## Key Features

**Scale**: Trino can handle exabyte-scale data lakes and massive data warehouses, allowing organizations to work with large datasets effectively.

**Speed**: Trino is a highly parallel and distributed query engine optimized for low-latency analytics, providing fast query performance for near real-time data exploration and analysis.

**Simplicity**: Trino is ANSI SQL compliant, making it compatible with popular BI tools such as R, Tableau, Power BI, and Superset. Users can leverage their existing SQL skills and workflows to interact with Trino.

**Versatile**: Trino supports a wide range of use cases, including ad-hoc analytics at interactive speeds, batch queries, and high-volume applications with sub-second response times. It offers flexibility to handle diverse workloads and query patterns.

**In-place analysis**: Trino allows users to query data directly in various data sources, including Hadoop, S3, Cassandra, and MySQL, eliminating the need for data replication.

**Query federation**: Trino enables users to access and join data from multiple systems within a single query. For example, combining historic log data stored in an S3 object storage with customer data stored in a MySQL database.

**Runs everywhere**: Trino is optimized for both on-premise and cloud environments, including Amazon, Azure, Google Cloud, and others, providing deployment flexibility.

**Trusted**: Trino is used by large organizations for critical business operations, including financial reporting for public markets. It has a proven track record of reliability and performance in demanding enterprise environments.

**Open**: Trino is an open-source project under the non-profit Trino Software Foundation, with contributions from a global community of developers and users.

Trino (formerly known as Presto SQL) is an open-source distributed SQL query engine for big data analytics that helps to explore a data universe. Trino is presented as a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics.

SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.

Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.

Amazon RDS for MySQL

Amazon RDS for PostgreSQL

Amazon RDS for MariaDB

Amazon RDS for Oracle

Amazon RDS for SQL Server

Trino

A relational database is a database structured to recognize relations among stored items of information.

Relational Databases

Visualizing MongoDB and Pinot Data Using Trino

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Trino
Formerly Presto SQL

Overview

What is Trino?