Apache SparkOpen-source multi-language engine for data engineering, data science and machine learning.

TrinoDistributed SQL query engine for big data

Comparison · Data Warehouse · weekly run Nov 3

Apache Spark vs Trino

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Trino is the stronger AI pick in Data Warehouse: it has a visibility score of 2 versus 0.9 for Apache Spark, and ranks ahead in 100% of the answers that name both.

Choose Apache Spark if…

You prefer a larger, established vendor (5,000+ employees)
Strong distributed processing capabilities for massive workloads
Distributes query execution across a cluster of commodity machines

Choose Trino if…

You want the brand AI engines rank higher (2 vs 0.9)
runs standard SQL directly over raw files in object storage
works without provisioning a database cluster
usable as a SQL engine alongside DuckDB and cloud warehouses

AI visibility side by side

Latest weekly run · Nov 3

Metric	Apache Spark	Trino
Visibility score	0.9%	2%
Change vs last week	New	New
Rank in Data Warehouse	#26	#21
Share of voice	0.5%	0.5%
Mentions this run	3	3
Positive in AI answers	—	0%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Apache Spark 0pp · Trino 0pp over 0 weekly runs.

Engine by engine

Trino leads on 3 of 3 engines

ChatGPT

1.9%

2.6%

AI Mode

0.9%

Perplexity

2.6%

Apache SparkTrino

Head to head in AI answers

2 engine answers name both brands

0Apache Spark ranked higher

2Trino ranked higher

Prompt	Engine	Apache Spark	Trino
How do companies store and query business data at scale without a dedicated tool?	ChatGPT	#9	#3
How do companies store and query business data at scale without a dedicated tool?	AI Mode	#11	#9

Features, pricing & fit

Dimension	Apache Spark	Trino
Deployment	Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes.	Optimized for both on-premise and cloud environments such as Amazon, Azure and Google Cloud.
Support	—	Community chat on Slack, Project blog
Founded	2010	2019
Headquarters	Wilmington, Delaware	—
Employees	5,000+	11–50
Best for	Data engineering, data science and machine learning work on single machines or clusters.	Analysts and data teams that need interactive, batch and federated SQL queries across data lakes and databases.