Apache Spark SQL vs Trino
Apache Spark SQL: Spark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing. Trino: Fast distributed SQL query engine for federated analytics across lakes and databases.
key differences
- Only Apache Spark SQL has in-memory, durable persistence, compression, streaming ingest.
- Only Trino has geospatial, materialized views, role-based access, time travel.
choose apache-spark-sql for
- +Lakehouse ETL and ELT
- +Batch feature engineering for ML
- +Streaming ingestion into Delta/Iceberg
- +Large-scale data cleaning and joins
best at · Lakehouse, OLAP, Streaming
choose trino for
- +Open lakehouse SQL on Iceberg/Delta
- +Federated analytics across databases
- +Interactive BI on object storage
- +Data mesh query layer
best at · OLAP, Lakehouse, Warehouse
Apache Spark SQL vs Trino: FAQ
What is the difference between Apache Spark SQL and Trino?
Apache Spark SQL: Spark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing. Trino: Fast distributed SQL query engine for federated analytics across lakes and databases. Only Apache Spark SQL has in-memory, durable persistence, compression, streaming ingest. Only Trino has geospatial, materialized views, role-based access, time travel.
When should I choose Apache Spark SQL over Trino?
Choose Apache Spark SQL for lakehouse ETL and ELT; batch feature engineering for ML; and streaming ingestion into Delta/Iceberg. Choose Trino for open lakehouse SQL on Iceberg/Delta, federated analytics across databases and interactive BI on object storage.
Is Apache Spark SQL or Trino more popular?
Apache Spark SQL ranks #26 on the WhichDB Score (50.3/100) and Trino ranks #27 (49.9/100). Popularity is not fit: check the requirements that matter for your project.
Are Apache Spark SQL and Trino open source?
Yes. Apache Spark SQL is open source. License: Apache License 2.0. Yes. Trino is open source. License: Apache License 2.0.