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Head-to-head · Query Engine Software

Trino vs Amazon Athena

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Trino #3 in Query Engine Software 9.0/10 Free plan Free plan✓ 0 of 4 features Visit Trino

Trino leads on 1 check, Amazon Athena on 0, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreTrino · 9.0/10
  • Free planonly Trino

Trino scores higher on our rubric for query engine software: 9.0 against 8.9 out of 10; our editors rank them #3 and #4.

Trino offers free plan; Amazon Athena doesn't.

Trino is the better fit for open-source federated SQL infrastructure. Amazon Athena is the better fit for S3-centric serverless SQL.

  • Trino fits best

    Open-source federated SQL infrastructure

  • Amazon Athena fits best

    S3-centric serverless SQL

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Side by side

Feature Trino 9.0/10 Visit ↗ Amazon Athena 8.9/10 Visit ↗
At a glance
Editor score 9.0 8.9
Ranking #3 in Query Engine Software #4 in Query Engine Software
Best for Open-source federated SQL infrastructure S3-centric serverless SQL
Pricing model Free Paid
Starting price Free plan $0.30/unit usage-based
Free plan ✓ (best) —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Linux Web
Support Community, Docs Docs
Integrations 6 integrations 30+ integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Trino 0/4 · Amazon Athena 0/4
Federated queries Not checked yet Not checked yet
Heterogeneous sources Not checked yet Not checked yet
Result caching Not checked yet Not checked yet
Streaming sources Not checked yet Not checked yet
Specs
Deployment Not checked yet Cloud
SQL support Not checked yet Not checked yet
Source connectors Not checked yet Not checked yet
Our review
Pros
  • Queries and joins data across databases, warehouses, object storage, and streams
  • Distributed execution supports interactive analytics, ETL, and high-volume applications
  • Fine-grained controls include row filtering and column masking through Ranger
  • Queries Amazon S3 data with standard SQL without managing infrastructure
  • Supports federated queries across relational, non-relational, and custom sources
  • Includes Glue Catalog, JDBC/ODBC, Spark, and workgroup cost controls
Cons
  • Deployment and operations require self-hosted infrastructure or managed cloud setup
  • Materialized views require explicit refresh commands
  • Query-result caching is connector-specific rather than engine-wide
  • SQL queries are billed by data scanned rather than fixed user plans
  • Advanced governance depends on AWS services such as Lake Formation
  • Its broad AWS ecosystem may be more than narrow SQL use cases need
Our verdict

Trino is an open-source, distributed SQL query engine for analyzing data across multiple systems without copying it into one store. It is suited to data teams building federated analytics, centralized data access, batch ETL, interactive…

Read the review →

Amazon Athena is a cloud-based, serverless query service for analysts, data engineers, developers, and organizations that need interactive analytics without managing query infrastructure. It uses standard SQL to query data stored in Amazon…

Read the review →
  1. TrinoQuery Engine Software 9.0Free plan
  2. Amazon AthenaQuery Engine Software 8.9Paid

Strengths and trade-offs

  • Trino — where it wins

    • Queries and joins data across databases, warehouses, object storage, and streams
    • Distributed execution supports interactive analytics, ETL, and high-volume applications
    • Fine-grained controls include row filtering and column masking through Ranger

    Where it doesn't

    • Deployment and operations require self-hosted infrastructure or managed cloud setup
    • Materialized views require explicit refresh commands
    • Query-result caching is connector-specific rather than engine-wide
  • Amazon Athena — where it wins

    • Queries Amazon S3 data with standard SQL without managing infrastructure
    • Supports federated queries across relational, non-relational, and custom sources
    • Includes Glue Catalog, JDBC/ODBC, Spark, and workgroup cost controls

    Where it doesn't

    • SQL queries are billed by data scanned rather than fixed user plans
    • Advanced governance depends on AWS services such as Lake Formation
    • Its broad AWS ecosystem may be more than narrow SQL use cases need

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update