What is trino?
Trino is a distributed SQL query engine that lets you run fast queries across large amounts of data stored in different places. It’s like a super-powered database that can connect to many different data sources and analyze information as if it were all in one place.
Let's break it down
Distributed: Runs across multiple computers working together instead of just one machine SQL query engine: A tool that understands SQL (the language used to ask questions about data) and processes those questions very quickly Fast queries: Getting answers to your data questions in seconds instead of hours Large amounts of data: Millions or billions of records that would be too big for a regular database Different data sources: Various places where data is stored like files, databases, or cloud storage systems
Why does it matter?
Trino matters because modern businesses store data in many different systems, and moving all that data to one place for analysis is expensive and time-consuming. It allows companies to get insights from their data without having to consolidate everything first, saving time and money while enabling faster decision-making.
Where is it used?
Companies use Trino to analyze customer behavior data stored across different platforms like website logs, mobile app data, and CRM systems Data scientists use it to run complex analytical queries on massive datasets stored in data lakes or warehouses Enterprises use it to generate real-time business reports by querying data from multiple databases simultaneously Organizations use it to perform ad-hoc analysis on streaming data without building complex data pipelines
Good things about it
Very fast query performance even on huge datasets Works with many different data sources including Hadoop, S3, MySQL, PostgreSQL, and more No need to move or copy data between systems Easy to use for people who already know SQL Scales well by adding more computers to handle larger workloads
Not-so-good things
Can be complex to set up and configure properly Requires significant computing resources which can be expensive Not ideal for updating or modifying data, mainly designed for reading and analyzing May have compatibility issues with some specialized SQL features from specific databases