AWSVisual low-code tool for building AWS-backed apps from Figma designs
vs
MaterializeThe live context layer for agents and apps
Comparison · Data Warehouse · weekly run Nov 3
AWS vs Materialize
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
AWS is the stronger AI pick in Data Warehouse: it has a visibility score of 32.5 versus 0 for Materialize.
Choose AWS if…
- You want the brand AI engines rank higher (32.5 vs 0)
- You need SOC 1 or SOC 2 or SOC 3 or ISO 27017 or ISO 27018 or ISO 27701 or PCI DSS Level 1 or FedRAMP or DoD SRG or ISO 9001 or ISO 27001 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Core federation and multi-account management included at no extra charge
Choose Materialize if…
- You need SOC 2 Type II coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | AWS | Materialize |
|---|---|---|
| Visibility score | 32.5% | 0% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #5 | #35 |
| Share of voice | 9.3% | 0% |
| Mentions this run | 52 | 0 |
| Positive in AI answers | 16% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
AWS 0pp · Materialize 0pp over 0 weekly runs.
Engine by engine
AWS leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
AWSMaterialize
Head to head in AI answers
0 engine answers name both brands
0AWS ranked higher
0Materialize ranked higher
Features, pricing & fit
| Dimension | AWS | Materialize |
|---|---|---|
| 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 |
| Compliance | SOC 1, SOC 2, SOC 3, ISO 27017, ISO 27018, ISO 27701, PCI DSS Level 1, FedRAMP, DoD SRG, ISO 9001, ISO 27001 | 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) |
| Founded | 2021 | 2019 |
| Headquarters | Seattle, Washington | New York, NY, United States |
| Employees | 5,000+ | 51–200 |
| 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 |
Plans side by side
AWS
Pricing not available.
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
AWS
- Core federation and multi-account management included at no extra charge
- Enterprise-grade reliability and uptime on AWS infrastructure
- Pay-as-you-go, usage-based pricing
- Deep integration with the AWS ecosystem and AI tools
- Recognised by analysts such as Gartner and ISG
- Requires strong AWS engineering or technical expertise
Materialize
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “AWS vs Materialize”, https://slateindex.ai/compare/aws-vs-materialize, data of Nov 3, 2026. Licence: CC BY 4.0.