Delta Lake vs Trino
On the evidence we track, Delta Lake leads this comparison with a composite score of 65/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Delta Lake
LeaderAn open-source storage framework enabling lakehouse architecture with support for multiple compute engines including Spark, Flink, Trino, Snowflake, BigQuery, and others.
Trino
An open-source SQL query engine built for fast, distributed analytics over large-scale datasets stored in multiple systems. It enables users to query data in place without copying, supporting interactive analytics workloads from single queries to high-volume applications.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Power BI
Delta Lake
Leader- Apache Spark
- Apache Flink
- Apache Hive
- Apache Pulsar
- Apache Druid
- ClickHouse
- Trino
- PrestoDB
- StarRocks
- RisingWave
- Dagster
- Hopsworks
- MLflow
- Kafka
- AWS Athena
- AWS EMR
- AWS Glue
- Azure Stream Analytics
- Google BigQuery
- Snowflake
- Databricks
- AWS Redshift
- Microsoft Fabric
- Starburst
- +4 more
Trino
- Grafana
- Apache Airflow
- Apache DolphinScheduler
- Coginiti
- Cube
- DBeaver
- dbt
- DbVisualizer
- Emacs
- Tableau
- Superset
- R
- Hadoop
- S3
- Cassandra
- MySQL
- Elasticsearch
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.