Why Trino is the PostgreSQL of analytics?

Trino, often referred to as the "PostgreSQL of analytics," is a versatile SQL query engine that enables interactive querying of data across distributed data sources, mirroring the adaptability that has made PostgreSQL a staple in relational databases. It employs a Massively Parallel Processing (MPP) architecture to efficiently handle large-scale analytics workloads, supporting a wide range of use cases such as real-time streaming analytics, ETL/ELT processes, and machine learning applications. Like PostgreSQL, Trino is open-source and low-cost, with a robust set of connectors that allow integration with various data storage solutions like Snowflake, Clickhouse, and Amazon Redshift, among others. It was originally developed as Presto at Meta to facilitate querying of their extensive data lake and has since evolved to outperform other analytics solutions such as Apache Spark due to its real-time processing capabilities and advanced performance techniques. Trino's governance features, fault-tolerant architecture, and community-driven development have contributed to its widespread adoption in modern analytics environments, offering a flexible and scalable solution for organizations seeking to eliminate data silos and improve data governance.