ClickHouseThe leading database for AI
vs
TrinoDistributed SQL query engine for big data
Comparison · Data Warehouse · weekly run Nov 3
ClickHouse vs Trino
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
ClickHouse is the stronger AI pick in Data Warehouse: it has a visibility score of 16.5 versus 2 for Trino.
Choose ClickHouse if…
- You want the brand AI engines rank higher (16.5 vs 2)
- AI answers describe it more positively (58% vs 0% positive)
- You need HIPAA or PCI coverage
- You prefer a larger, established vendor (501–1,000 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 | ClickHouse | Trino |
|---|---|---|
| Visibility score | 16.5% | 2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #8 | #21 |
| Share of voice | 5.4% | 0.5% |
| Mentions this run | 30 | 3 |
| Positive in AI answers | 58% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
ClickHouse 0pp · Trino 0pp over 0 weekly runs.
Engine by engine
ClickHouse leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
ClickHouseTrino
Head to head in AI answers
0 engine answers name both brands
0ClickHouse ranked higher
0Trino ranked higher
Features, pricing & fit
| Dimension | ClickHouse | Trino |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | $0.218 / mo | — |
| Free plan | No · 30-day trial | — |
| Deployment | ClickHouse Cloud on AWS, GCP and Azure, self-managed open-source installs, and Bring Your Own Cloud within the customer's own VPC. | Optimized for both on-premise and cloud environments such as Amazon, Azure and Google Cloud. |
| Integrations | 100+ | — |
| Compliance | HIPAA, PCI | — |
| Support | Expert support with 1 business day response time on Basic, Expert support with 1 hour response time on Scale, Enterprise support with 30 min response time for Severity 1 issues, Named Lead Support Engineer on Enterprise | Community chat on Slack, Project blog |
| Founded | 2009 | 2019 |
| Headquarters | Palo Alto, CA, United States | — |
| Employees | 501–1,000 | 11–50 |
| Funding | Series D, led by Dragoneer | — |
| Best for | Developers and data teams that need real-time queries on large datasets at an affordable cost, including teams adding a speed layer on top of an existing data warehouse or OLTP database. | Analysts and data teams that need interactive, batch and federated SQL queries across data lakes and databases. |
Plans side by side
ClickHouse
Basic$0.218per compute unit / hr
Scale$0.299per compute unit / hr
Enterprise$0.39per compute unit / hr
Trino
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
ClickHouse
- fast real-time analytics
- high-concurrency analytics performance
- strong for observability and log analytics
- $300 credits and 30-day trial
- best raw performance-to-cost ratio
- self-hosting requires scaling and maintenance work
- efficient operation at very large scale needs specialized expertise
- specialist option rather than broad enterprise warehouse replacement
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, “ClickHouse vs Trino”, https://slateindex.ai/compare/clickhouse-vs-trino, data of Nov 3, 2026. Licence: CC BY 4.0.