🧠Trino Flashcards
Trino flashcards for fast revision. This distributed SQL engine lets teams run interactive analytics across many sources without moving data. Below, you’ll find concise Q&A cards covering what it is, where it shines, supported connectors, architecture, standards, and enterprise options—plus quick tips and resources at the end.
🔍 What is Trino?
A high-performance distributed SQL query engine for big data, capable of querying across multiple data sources.
🛠️ What is it used for?
Enables interactive analytics over large datasets stored in data lakes, databases, or other sources.
📦 Which data sources are supported?
Hive, Iceberg, Delta Lake, MySQL, Postgres, Redshift, and many more via connectors.
⚡ What makes it fast?
In-memory execution, distributed processing, and a pipelined architecture for low latency.
🎯 How is it different from Hive?
Executes queries without MapReduce or Spark, delivering much faster results for interactive workloads.
🧬 What is a connector?
A plugin that lets the engine query external systems like S3, Kafka, and JDBC-compatible databases.
🛡️ Does it support SQL standards?
Yes—ANSI SQL support means you can write familiar queries across all connected sources.
🏗️ What’s the architecture?
A coordinator parses and plans queries, and workers execute them in parallel.
đź’Ľ Used in production?
Yes—adopted by large technology companies for federated and interactive querying at scale.
đź”— What is Starburst?
An enterprise platform built on this engine, adding features like advanced security, caching, and monitoring.
Quick tips for success
- Right queries, right place: Push simple filters and projections down to the source for better performance.
- Mind the catalogs: Organize connectors/catalogs logically (e.g., lakehouse, operational DBs) to keep SQL readable.
- Partition awareness: Leverage partition columns and stats to reduce scanned data.
- Resource tuning: Size worker memory/CPU to match concurrency and dataset characteristics.
- Governance: Use RBAC, column masking, and audit tools where available in enterprise bundles.
Learn more & related reading
- Official docs: Trino Documentation
- On our site: Uplatz Blog – Data & Analytics Guides