Announcement
Trino: Distributed SQL Query Engine for Big Data
Trino is a high-performance, distributed SQL query engine for big data. It enables querying data where it lives, including HDFS, S3, Cassandra, MySQL, and many others, without needing to move data.
Project Introduction
Summary
Trino is an open-source distributed SQL query engine designed to query large datasets residing in various data sources simultaneously. It provides a single point of access using standard SQL.
Problem Solved
Traditional data warehousing requires moving all data into a central repository, which is expensive and time-consuming. Trino solves this by allowing users to query data directly in its source location, bridging silos and enabling real-time analytics across diverse systems.
Core Features
Connectors
Pluggable architecture supporting connectivity to a wide array of data sources (HDFS, S3, relational databases, NoSQL, etc.).
Distributed Execution
Scalable query execution across a cluster of machines for high performance on large datasets.
Tech Stack
Use Cases
Trino's architecture makes it ideal for various scenarios requiring querying diverse data stores using SQL:
Data Lake Analytics
Details
Querying petabytes of data stored in data lakes on S3, HDFS, or similar object storage using standard SQL interfaces.
User Value
Enables analysts and data scientists to directly query raw data without complex ETL pipelines.
Cross-Source Reporting
Details
Joining data from different systems like a PostgreSQL database, a Kafka topic, and S3 data simultaneously within a single SQL query.
User Value
Simplifies reporting and BI by providing a unified view across disparate data sources.
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