BigQuery vs MotherDuck
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 11.1 for MotherDuck, and ranks ahead in 94% of the answers that name both.
Choose BigQuery if…
- You want the brand AI engines rank higher (63.6 vs 11.1)
- You need SOC 1 or SOC 2 or SOC 3 or ISO/IEC 27001 or HIPAA or NIST 800-53 or NIST 800-171 or IRAP or Cyber Essentials coverage
- Serverless, highly scalable data warehouse
- Free tier suited to small teams and light workloads
Choose MotherDuck if…
- AI answers describe it more positively (64% vs 41% positive)
- You need SOC 2 Type II coverage
- lightweight option for local-first data engineering
- free plan and no credit card required
AI visibility side by side
Latest weekly run · Nov 3
| Metric | BigQuery | MotherDuck |
|---|---|---|
| Visibility score | 63.6% | 11.1% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #2 | #9 |
| Share of voice | 12% | 3.2% |
| Mentions this run | 67 | 18 |
| Positive in AI answers | 41% | 64% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
BigQuery 0pp · MotherDuck 0pp over 0 weekly runs.
Engine by engine
BigQuery leads on 3 of 3 engines
Head to head in AI answers
16 engine answers name both brands
| Prompt | Engine | BigQuery | MotherDuck |
|---|---|---|---|
| How do I choose a data warehouse for a mid-market team? | Perplexity | #1 | #9 |
| Top data warehouse options for B2B SaaS companies | ChatGPT | #2 | #6 |
| Top data warehouse options for B2B SaaS companies | Perplexity | #2 | #9 |
| Best data warehouse for startups | ChatGPT | #1 | #7 |
| Best data warehouse for startups | AI Mode | #1 | #9 |
| Best data warehouse for startups | Perplexity | #1 | #9 |
| Alternatives to the most popular data warehouse | Perplexity | #2 | #9 |
| Most affordable data warehouse that is still reliable | ChatGPT | #1 | #5 |
| Most affordable data warehouse that is still reliable | Perplexity | #1 | #2 |
| How much does a data warehouse cost per month? | AI Mode | #2 | #4 |
| Is there a free data warehouse for small teams? | ChatGPT | #1 | #2 |
| Is there a free data warehouse for small teams? | AI Mode | #1 | #2 |
Features, pricing & fit
| Dimension | BigQuery | MotherDuck |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $250 / mo |
| Free plan | — | Yes |
| Deployment | Serverless, runs only on Google Cloud | Managed cloud service |
| Integrations | — | 40+ |
| Compliance | SOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber Essentials | SOC 2 Type II, GDPR |
| Support | — | In-app expert chat, Support engineers in the US and EU, Community access to MotherDuck experts |
| Founded | — | 2022 |
| Headquarters | — | Seattle, WA, United States |
| Employees | — | 51–200 |
| Funding | — | Series B+ · $100M raised |
| Best for | — | Data teams and app developers who want serverless DuckDB analytics with isolated compute for each user, customer or agent. |
Plans side by side
BigQuery
Pricing not available.
MotherDuck
Pros and cons
Themes from the AI answers that mention each brand
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
MotherDuck
- lightweight option for local-first data engineering
- free plan and no credit card required
- transparent public pricing with one-second billing minimum
- simple DuckDB-based option with predictable budget
- developer-friendly and suitable for early-stage SaaS
- surprise costs from billing minimums and query mistakes
- less suited to large enterprise workloads
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “BigQuery vs MotherDuck”, https://slateindex.ai/compare/bigquery-vs-motherduck, data of Nov 3, 2026. Licence: CC BY 4.0.