Trino
Claim this toolA distributed SQL query engine for big data analytics at ludicrous speed.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Exceptional speed and low latency for analytics
Biggest con
Requires technical expertise for deployment and management
TL;DR - Trino
- Distributed SQL query engine for big data.
- Queries data in-place across diverse sources.
- Enables fast, interactive, and federated analytics.
Pricing: Free forever
Best for: Individuals & startups
What is Trino?
Trino is an open-source, distributed SQL query engine designed for high-performance analytics on massive datasets. It allows users to query data where it lives, across various sources like Hadoop, S3, Cassandra, Kafka, relational databases (MySQL, PostgreSQL, Oracle), and modern lakehouses (Iceberg, Delta Lake), without the need for complex data copying processes. Trino is ANSI SQL compliant and integrates with popular BI tools such as R, Tableau, Power BI, and Superset.
This query engine is built for speed and scalability, enabling interactive data analytics, high-performance analytics on object storage, and centralized data access through query federation. It can handle diverse use cases, from ad-hoc interactive queries to massive multi-hour batch queries and high-volume applications requiring sub-second responses. Trino also significantly speeds up batch ETL processes across disparate systems, allowing engineers to use standard SQL for data transformation.
Trino is optimized for both on-premise and cloud environments (Amazon, Azure, Google Cloud) and is trusted by large organizations for critical business operations. It is a community-driven project under the non-profit Trino Software Foundation, offering extensive resources and community support.
Available on: Web
Pros & Cons
Pros
- Exceptional speed and low latency for analytics
- Scalable to exabyte-scale data lakes and massive data warehouses
- Simplifies data access by querying data in-place without copying
- Enables federated queries across disparate systems with a single SQL statement
- Open-source and community-driven
Cons
- Requires technical expertise for deployment and management
- Can be resource-intensive for very large-scale operations
Key Features
Highly parallel and distributed query engineANSI SQL compliantQuery federation across multiple data sourcesIn-place analysis of data (Hadoop, S3, Cassandra, MySQL, etc.)Supports interactive analytics and massive batch queriesOptimized for on-premise and cloud environmentsIntegrates with BI tools (R, Tableau, Power BI, Superset)Accelerates batch ETL processing
Pricing
Free
Trino is completely free to use with no hidden costs.
Reviews
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Trino FAQ
How does Trino enable analytics across different data sources?
Trino allows users to query data directly where it resides, across various sources such as Hadoop, S3, Cassandra, Kafka, and relational databases. It achieves this through query federation, eliminating the need for complex data copying processes before analysis.
Which teams benefit most from using Trino?
Teams involved in big data analytics, data engineering, and business intelligence can significantly benefit from Trino. It is particularly useful for organizations requiring high-performance analytics on massive datasets and interactive querying across disparate systems.
How is Trino priced?
Trino is an open-source project under the non-profit Trino Software Foundation, meaning it is free to use. There is no paid plan required to utilize its features for big data analytics.
What kind of limitations should users consider when implementing Trino?
Users should be aware that Trino requires technical expertise for its deployment and ongoing management. Additionally, it can be resource-intensive, especially when handling very large-scale operations.
Can Trino integrate with existing business intelligence tools?
Yes, Trino integrates with popular business intelligence tools. It supports connections with platforms such as R, Tableau, Power BI, and Superset, allowing users to leverage their preferred visualization and reporting tools.
How does Trino compare to Presto for big data analytics?
Trino, like Presto, is a distributed SQL query engine designed for high-performance analytics on massive datasets. Trino is an open-source, community-driven project that focuses on querying data in-place across various sources without requiring data movement.
Does Trino support querying modern lakehouse formats?
Yes, Trino supports querying modern lakehouse formats. It can integrate with technologies like Iceberg and Delta Lake, allowing users to perform analytics directly on data stored in these lakehouse environments.
Source: trino.io