AWSVisual low-code tool for building AWS-backed apps from Figma designs
vs
BigQueryFully managed, serverless enterprise data warehouse from Google Cloud
Comparison · Data Warehouse · weekly run Nov 3
AWS vs BigQuery
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
BigQuery is the stronger AI pick in Data Warehouse: it has a visibility score of 63.6 versus 32.5 for AWS, and ranks ahead in 77% of the answers that name both.
Choose AWS if…
- You need 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
- 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
Choose BigQuery if…
- You want the brand AI engines rank higher (63.6 vs 32.5)
- AI answers describe it more positively (41% vs 16% positive)
- You need ISO/IEC 27001 or HIPAA or NIST 800-53 or NIST 800-171 or IRAP or GDPR or Cyber Essentials coverage
- Serverless, highly scalable data warehouse
AI visibility side by side
Latest weekly run · Nov 3
| Metric | AWS | BigQuery |
|---|---|---|
| Visibility score | 32.5% | 63.6% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #5 | #2 |
| Share of voice | 9.3% | 12% |
| Mentions this run | 52 | 67 |
| Positive in AI answers | 16% | 41% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
AWS 0pp · BigQuery 0pp over 0 weekly runs.
Engine by engine
BigQuery leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
AWSBigQuery
Head to head in AI answers
52 engine answers name both brands
12AWS ranked higher
40BigQuery ranked higher
| Prompt | Engine | AWS | BigQuery |
|---|---|---|---|
| What is a data warehouse and when does a company need one? | ChatGPT | #6 | #4 |
| How do I choose a data warehouse for a mid-market team? | ChatGPT | #7 | #2 |
| How do I choose a data warehouse for a mid-market team? | AI Mode | #2 | #4 |
| How do I choose a data warehouse for a mid-market team? | Perplexity | #2 | #1 |
| What features matter most in a data warehouse? | ChatGPT | #2 | #4 |
| What features matter most in a data warehouse? | AI Mode | #3 | #6 |
| How do companies store and query business data at scale without a dedicated tool? | AI Mode | #8 | #2 |
| What should a data warehouse integrate with? | AI Mode | #8 | #4 |
| What are the best data warehouse tools in 2026? | ChatGPT | #6 | #3 |
| What are the best data warehouse tools in 2026? | AI Mode | #2 | #4 |
| What are the best data warehouse tools in 2026? | Perplexity | #6 | #3 |
| Top data warehouse options for B2B SaaS companies | ChatGPT | #7 | #2 |
Features, pricing & fit
| Dimension | AWS | BigQuery |
|---|---|---|
| Deployment | — | Serverless, runs only on Google Cloud |
| 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 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber Essentials |
| Founded | 2021 | — |
| Headquarters | Seattle, Washington | — |
| Employees | 5,000+ | — |
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
BigQuery
- Serverless, highly scalable data warehouse
- Free tier suited to small teams and light workloads
- Easy to start with low operational overhead
- Built-in ML and AI capabilities
- Strong fit for Google Cloud-centric teams
- Bills are hard to predict
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “AWS vs BigQuery”, https://slateindex.ai/compare/aws-vs-bigquery, data of Nov 3, 2026. Licence: CC BY 4.0.