MaterializeThe live context layer for agents and apps
vs
TrinoDistributed SQL query engine for big data
Comparison · Data Warehouse · weekly run Nov 3
Materialize 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 for Materialize.
Choose Materialize if…
- You need SOC 2 Type II coverage
- You prefer a larger, established vendor (51–200 employees)
Choose Trino if…
- You want the brand AI engines rank higher (2 vs 0)
- 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 | Materialize | Trino |
|---|---|---|
| Visibility score | 0% | 2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #35 | #21 |
| Share of voice | 0% | 0.5% |
| Mentions this run | 0 | 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
Materialize 0pp · Trino 0pp over 0 weekly runs.
Engine by engine
Trino leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
MaterializeTrino
Head to head in AI answers
0 engine answers name both brands
0Materialize ranked higher
0Trino ranked higher
Features, pricing & fit
| Dimension | Materialize | Trino |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $1.5 / mo | — |
| Free plan | Yes | — |
| Deployment | Fully managed SaaS (Materialize Cloud) or self-managed on your own infrastructure, including air-gapped on-prem | Optimized for both on-premise and cloud environments such as Amazon, Azure and Google Cloud. |
| Compliance | SOC 2 Type II | — |
| Support | Chatbot and helpdesk tickets (Cloud On-Demand), Dedicated account team and guided onboarding (Cloud Capacity), Community Slack (Community license), Priority support from Materialize (Enterprise license) | Community chat on Slack, Project blog |
| Founded | 2019 | 2019 |
| Headquarters | New York, NY, United States | — |
| Employees | 51–200 | 11–50 |
| Funding | Series C · $100M raised | — |
| Best for | Engineering teams that want to build live data products and fresh context for AI agents and apps using SQL | Analysts and data teams that need interactive, batch and federated SQL queries across data lakes and databases. |
Plans side by side
Materialize
Cloud On-Demand$1.5per compute credit, billed monthly
Cloud Capacity$1.5per compute credit, annual prepaid plan
Self-Managed Community$0free forever
Self-Managed EnterpriseCustomannual license
Trino
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Materialize
Profile in progress.
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, “Materialize vs Trino”, https://slateindex.ai/compare/materialize-vs-trino, data of Nov 3, 2026. Licence: CC BY 4.0.