Trino
Distributed SQL query engine for querying data across multiple sources (S3/HDFS Parquet/ORC, Hive, Iceberg, Delta Lake, PostgreSQL, MySQL, Kafka, Redis, MongoDB, and more) using standard ANSI SQL. Trino (formerly PrestoSQL) runs federated queries spanning multiple data sources in a single SQL statement — JOIN a Hive table with PostgreSQL with a Kafka topic. Excels at interactive analytics on large datasets. Widely used as the query engine behind data platforms at Meta, LinkedIn, Netflix, and others.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Apache 2.0. Multiple auth options (OAuth2, LDAP, Kerberos). OPA integration for fine-grained access control. Data source credentials stored in connector configuration — use secrets management. Cross-data-source queries may expose data across security boundaries.
⚡ Reliability
Best When
You need interactive SQL analytics across heterogeneous data sources (data lake + databases + streaming) with high concurrency in a distributed environment.
Avoid When
You have data in a single source, need OLTP, or your datasets are small — DuckDB or direct database SQL is simpler and faster.
Use Cases
- • Query data lake files (Parquet/ORC on S3) with ANSI SQL for interactive analytics without data movement
- • Federate queries across databases — JOIN production PostgreSQL with S3-based analytics data in a single SQL query
- • Power agent analytical queries over large datasets using Trino's distributed execution without database-specific APIs
- • Replace vendor-specific query engines with open-source Trino for cost reduction in analytics platforms
- • Query Apache Iceberg, Delta Lake, and Hive tables with advanced SQL features (window functions, approximate aggregations)
Not For
- • OLTP workloads — Trino is read-heavy analytics; for write-heavy transactional use cases use PostgreSQL or CockroachDB
- • Streaming queries — Trino processes data in batches; use Flink or RisingWave for streaming SQL
- • Very small datasets — Trino's distributed overhead isn't justified for datasets under millions of rows; DuckDB is faster for local analytics
Interface
Authentication
Authentication options: password authenticator (LDAP, file-based), certificate authentication, OAuth2/OIDC, or Kerberos. Authorization via Trino's access control plugins or OPA integration. Self-hosted Trino can disable auth for internal-only deployments.
Pricing
Apache 2.0 licensed. Starburst is the commercial company behind Trino. Core Trino is free; Starburst Enterprise adds enterprise features (data products, access control, support).
Agent Metadata
Known Gotchas
- ⚠ Trino's REST API is async — submit query, then poll for results using the nextUri returned; don't expect synchronous result delivery
- ⚠ Catalog configuration is server-side — agents cannot define new catalogs at query time; catalogs must be configured on the Trino cluster
- ⚠ Memory limits per query are configurable — large queries without proper filtering may exceed memory limits and fail
- ⚠ Connector support varies widely — some connectors (Kafka, Redis) have limited push-down; queries may be slower than expected for complex predicates
- ⚠ Trino's SQL dialect differs from PostgreSQL/MySQL — ANSI SQL compliant but some vendor-specific functions don't work
- ⚠ Query cancellation via REST API DELETE uses the queryId — agents must track queryIds for management
- ⚠ Dynamic catalog (catalog.session.properties) allows runtime configuration of some catalog settings — useful for per-query optimization
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Trino.
Scores are editorial opinions as of 2026-03-06.