TeradataTurn intelligence into autonomous action
vs
TrinoDistributed SQL query engine for big data
Comparison · Data Warehouse · weekly run Nov 3
Teradata vs Trino
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Teradata is the stronger AI pick in Data Warehouse: it has a visibility score of 5.7 versus 2 for Trino, and ranks ahead in 100% of the answers that name both.
Choose Teradata if…
- You want the brand AI engines rank higher (5.7 vs 2)
- AI answers describe it more positively (36% vs 0% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or TX-RAMP or ISO/IEC 27001:2022 or IRAP PROTECTED or FedRAMP Ready at Moderate impact level on AWS coverage
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 | Teradata | Trino |
|---|---|---|
| Visibility score | 5.7% | 2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #16 | #21 |
| Share of voice | 2.5% | 0.5% |
| Mentions this run | 14 | 3 |
| Positive in AI answers | 36% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Teradata 0pp · Trino 0pp over 0 weekly runs.
Engine by engine
Teradata leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
TeradataTrino
Head to head in AI answers
1 engine answers name both brands
1Teradata ranked higher
0Trino ranked higher
| Prompt | Engine | Teradata | Trino |
|---|---|---|---|
| How do companies store and query business data at scale without a dedicated tool? | AI Mode | #4 | #9 |
Features, pricing & fit
| Dimension | Teradata | Trino |
|---|---|---|
| Deployment | Cloud, on-premises and hybrid | Optimized for both on-premise and cloud environments such as Amazon, Azure and Google Cloud. |
| Compliance | SOC 2 Type II, TX-RAMP, ISO/IEC 27001:2022, IRAP PROTECTED, FedRAMP Ready at Moderate impact level on AWS | — |
| Support | — | Community chat on Slack, Project blog |
| Founded | 1979 | 2019 |
| Headquarters | San Diego, California | — |
| Employees | 5,000+ | 11–50 |
| Best for | — | 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
Teradata
- Suited to large, highly regulated enterprise environments
- Mature SQL workload management and hybrid deployment options
- Strong for complex, governed enterprise workloads
- Good fit for modernizing existing Teradata environments
- High PeerSpot enterprise-warehouse rating
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, “Teradata vs Trino”, https://slateindex.ai/compare/teradata-vs-trino, data of Nov 3, 2026. Licence: CC BY 4.0.