DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
TrinoDistributed SQL query engine for big data
Comparison · Data Warehouse · weekly run Nov 3
Databricks vs Trino
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Databricks is the stronger AI pick in Data Warehouse: it has a visibility score of 37.9 versus 2 for Trino.
Choose Databricks if…
- You want the brand AI engines rank higher (37.9 vs 2)
- AI answers describe it more positively (35% vs 0% positive)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
Choose Trino if…
- 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 | Databricks | Trino |
|---|---|---|
| Visibility score | 37.9% | 2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #4 | #21 |
| Share of voice | 9.3% | 0.5% |
| Mentions this run | 52 | 3 |
| Positive in AI answers | 35% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Trino 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksTrino
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0Trino ranked higher
Features, pricing & fit
| Dimension | Databricks | Trino |
|---|---|---|
| Deployment | Available across all major cloud providers | Optimized for both on-premise and cloud environments such as Amazon, Azure and Google Cloud. |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | — |
| Support | Technical support on request, Technical documentation | Community chat on Slack, Project blog |
| Founded | 2013 | 2019 |
| Headquarters | San Francisco, CA | — |
| Employees | 5,000+ | 11–50 |
| Funding | Round at $60B valuation, including secondary sale | — |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Analysts and data teams that need interactive, batch and federated SQL queries across data lakes and databases. |
Pros and cons
Themes from the AI answers that mention each brand
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Trino
- 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
- lacks native distributed execution architecture like Spark
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Trino”, https://slateindex.ai/compare/databricks-vs-trino, data of Nov 3, 2026. Licence: CC BY 4.0.