BigQueryFully managed, serverless enterprise data warehouse from Google Cloud
vs
MySQLThe world's most popular open source database
Comparison · Data Warehouse · weekly run Nov 3
BigQuery vs MySQL
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 4.2 for MySQL, and ranks ahead in 43% of the answers that name both.
Choose BigQuery if…
- You want the brand AI engines rank higher (63.6 vs 4.2)
- 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 GDPR or Cyber Essentials coverage
- Serverless, highly scalable data warehouse
- Free tier suited to small teams and light workloads
Choose MySQL if…
- well suited to transactional workloads
- common primary production database with read replicas
AI visibility side by side
Latest weekly run · Nov 3
| Metric | BigQuery | MySQL |
|---|---|---|
| Visibility score | 63.6% | 4.2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #2 | #18 |
| Share of voice | 12% | 1.1% |
| Mentions this run | 67 | 6 |
| Positive in AI answers | 41% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
BigQuery 0pp · MySQL 0pp over 0 weekly runs.
Engine by engine
BigQuery leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
BigQueryMySQL
Head to head in AI answers
7 engine answers name both brands
3BigQuery ranked higher
4MySQL ranked higher
| Prompt | Engine | BigQuery | MySQL |
|---|---|---|---|
| How do companies store and query business data at scale without a dedicated tool? | ChatGPT | #5 | #2 |
| How do companies store and query business data at scale without a dedicated tool? | AI Mode | #2 | #7 |
| What should a data warehouse integrate with? | AI Mode | #4 | #2 |
| Best data warehouse for startups | ChatGPT | #1 | #10 |
| Best data warehouse for startups | AI Mode | #1 | #7 |
| What are the pros and cons of DuckDB? | ChatGPT | #6 | #3 |
| What are the pros and cons of DuckDB? | AI Mode | #5 | #3 |
Features, pricing & fit
| Dimension | BigQuery | MySQL |
|---|---|---|
| Deployment | Serverless, runs only on Google Cloud | Cloud service (HeatWave) and self-managed software using a client-server model, also available as an embeddable library |
| Compliance | SOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber Essentials | — |
| Support | — | 24x7 direct technical support from MySQL engineers via MySQL Enterprise Edition |
| Headquarters | — | Austin, Texas, United States (parent Oracle's headquarters) |
| Employees | — | 5,000+ |
| Funding | — | Series C · $39M raised |
| Best for | — | Web-based applications, and ISVs, OEMs and VARs embedding a database in their products |
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
MySQL
- well suited to transactional workloads
- common primary production database with read replicas
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “BigQuery vs MySQL”, https://slateindex.ai/compare/bigquery-vs-mysql, data of Nov 3, 2026. Licence: CC BY 4.0.