Comparisons anchored on Trino, the Apache-2.0 distributed SQL query engine (formerly PrestoSQL) that queries lakehouses and databases in place.
The two descendants of Facebook's Presto compared: how the 2019 split and 2020 rename happened, governance (Trino's creators versus the Presto Foundation at the Linux Foundation), release cadence, Java and C++ (Prestissimo) workers, connectors and which one a new self-hosted lakehouse should adopt.
Interactive SQL against a general-purpose engine: Trino's coordinator and workers querying data in place against Spark's batch, streaming and ML workloads, fault tolerance for long queries, cluster managers and why many lakehouses run both over the same Iceberg tables.
A pure query engine against an MPP database that can also query lakehouse tables: federation across many sources versus StarRocks's own storage, materialized views and caching, concurrency for dashboards, and the operating work for each.
Buying Starburst Galaxy or Starburst Enterprise or running open-source Trino yourself: Starburst's published credit pricing and free tier, the features it adds (Warp Speed caching, built-in RBAC and ABAC with masking, data products, support), and the cluster, catalog and access control work self-hosting leaves with you.
Whether to switch on Trino's fault-tolerant execution: the default standard mode that fails a query when a worker fails, the QUERY and TASK retry policies, the exchange manager spooling to S3, Azure Blob, GCS or HDFS that TASK needs, and when batch ETL on Trino justifies the extra setup.
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