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SlateIndex
BigQueryFully managed, serverless enterprise data warehouse from Google Cloud
vs
MotherDuckThe Cloud Data Warehouse Built on DuckDB
Comparison · Data Warehouse · weekly run Nov 3

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 score63.6%11.1%
Change vs last weekNewNew
Rank in Data Warehouse#2#9
Share of voice12%3.2%
Mentions this run6718
Positive in AI answers41%64%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3BigQuery 64%

BigQuery 0pp · MotherDuck 0pp over 0 weekly runs.

Engine by engine

BigQuery leads on 3 of 3 engines

ChatGPT
68.7%
10.9%
AI Mode
65.9%
7.8%
Perplexity
56.1%
14.4%
BigQueryMotherDuck

Head to head in AI answers

16 engine answers name both brands

15BigQuery ranked higher
1MotherDuck ranked higher

Features, pricing & fit

DimensionBigQueryMotherDuck
Pricing model—Usage-based
Entry price—Free; paid from $250 / mo
Free plan—Yes
DeploymentServerless, runs only on Google CloudManaged cloud service
Integrations—40+
ComplianceSOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber EssentialsSOC 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

Lite$0per org / month
Business$250per org / month + usage
EnterpriseCustomcustom
MotherDuck pricing

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.