dbtDeliver trusted data with dbt
vs
MaterializeThe live context layer for agents and apps
Comparison · Data Warehouse · weekly run Nov 3
dbt vs Materialize
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
dbt is the stronger AI pick in Data Warehouse: it has a visibility score of 6.5 versus 0 for Materialize.
Choose dbt if…
- You want the brand AI engines rank higher (6.5 vs 0)
- You need a self-hosted or on-premises option
- You need ISO 27001:2022 or ISO 27017:2015 or ISO 27018:2025 or ISO 27701:2019 or ISO 42001:2023 or GDPR or CCPA coverage
- Per seat pricing suits your budget better than usage-based
Choose Materialize if…
- You want a lower entry price ($1.5 vs $100)
- Usage-based pricing suits your budget better than per seat
AI visibility side by side
Latest weekly run · Nov 3
| Metric | dbt | Materialize |
|---|---|---|
| Visibility score | 6.5% | 0% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #14 | #35 |
| Share of voice | 2.3% | 0% |
| Mentions this run | 13 | 0 |
| 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
dbt 0pp · Materialize 0pp over 0 weekly runs.
Engine by engine
dbt leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
dbtMaterialize
Head to head in AI answers
0 engine answers name both brands
0dbt ranked higher
0Materialize ranked higher
Features, pricing & fit
| Dimension | dbt | Materialize |
|---|---|---|
| Pricing model | Per seat | Usage-based |
| Entry price | Free; paid from $100 per seat / mo | Free; paid from $1.5 / mo |
| Free plan | Yes | Yes |
| Deployment | Cloud platform, with self-hosted dbt Core and hybrid projects run in the customer's own environment. | Fully managed SaaS (Materialize Cloud) or self-managed on your own infrastructure, including air-gapped on-prem |
| Compliance | SOC 2 Type II, ISO 27001:2022, ISO 27017:2015, ISO 27018:2025, ISO 27701:2019, ISO 42001:2023, GDPR, CCPA | SOC 2 Type II |
| Support | Documentation, online learning and community, 24x5 support, Priority support with enhanced SLA, Dedicated account management | 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) |
| Founded | — | 2019 |
| Headquarters | — | New York, NY, United States |
| Employees | — | 51–200 |
| Funding | Series D · $414M raised | Series C · $100M raised |
| Best for | Data teams that build SQL-based data transformations and want them tested, version-controlled and governed. | Engineering teams that want to build live data products and fresh context for AI agents and apps using SQL |
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
Pros and cons
Themes from the AI answers that mention each brand
dbt
- Excellent tool for modern data warehousing
- Cleans and models raw data into analytics-ready tables
- Compatible with many other data and BI tools
Materialize
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “dbt vs Materialize”, https://slateindex.ai/compare/dbt-vs-materialize, data of Nov 3, 2026. Licence: CC BY 4.0.