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Trino is a distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. It allows organizations to analyze data where it lives without migrating it.
Trino (formerly PrestoSQL) is a powerful, open-source distributed SQL query engine optimized for querying large datasets resident in various data sources. It acts as a federated query layer.
Traditional data analysis often requires moving data into a central data warehouse (ETL), which is time-consuming and costly. Trino solves this by enabling direct querying of data in situ, regardless of where it is stored.
Provides a standard ANSI SQL interface to query diverse data sources.
Connects to various data sources (Hive, S3, Kafka, RDBMS, etc.) through its connector architecture.
Executes queries in parallel across a cluster of machines for high performance and scalability.
Trino's distributed architecture and connector ecosystem make it suitable for a variety of big data analytics use cases:
Query vast amounts of data stored in data lakes (e.g., on S3, HDFS) using standard SQL without needing to load it into a data warehouse.
Faster time to insight and reduced infrastructure costs by avoiding data movement.
Execute a single query that joins data from different sources, such as a data lake, a relational database, and a NoSQL store.
Simplified complex analysis that spans multiple systems.
Connect Business Intelligence (BI) tools that support SQL directly to various data sources through Trino, enabling interactive analysis.
Empowers business users with direct access to fresh data across the organization.
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