Trino is an open-source, distributed SQL query engine built for fast, federated analytics across large datasets. It lets users run ANSI SQL queries on data from multiple sources like Hadoop, S3, Cassandra, and MySQL—without moving the data.As a high-performance alternative to tools like PrestoDB, Apache Hive, Dremio, and ClickHouse, Trino is ideal for modern data lakehouses and cross-platform analytics.
Key Features:
- High Speed: Built for efficient, low-latency analytics with parallel and distributed query processing.
- Scalability: Suitable for querying exabyte-scale data lakes and massive data warehouses.
- SQL Compliance: ANSI SQL compliant, compatible with BI tools like R, Tableau, and Power BI.
- Versatility: Supports ad-hoc analytics, batch queries, and high-volume applications.
- In-Place Analysis: Natively queries data in various systems without data copying.
- Query Federation: Accesses data from multiple systems within a single query.
- Cloud Optimized: Optimized for on-premise and cloud environments (Amazon, Azure, Google Cloud).
Use Cases:
- Interactive Data Analytics: Enables quick results for data analysts and scientists to test hypotheses and build visualizations.
- High-Performance Analytics of Object Storage: Facilitates SQL-based analytics on HDFS/Hive object storage systems and cloud object storage.
- Centralized Data Access: Simplifies analytics by querying disparate data sources in the same system.
- Batch ETL Processing: Speeds up ETL processes using standard SQL across numerous data sources and targets.
