BigQuery vs Cloudera
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 1 for Cloudera, and ranks ahead in 100% of the answers that name both.
Choose BigQuery if…
- You want the brand AI engines rank higher (63.6 vs 1)
- AI answers describe it more positively (41% vs 0% positive)
- 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
Choose Cloudera if…
No clear advantage in the published data.
AI visibility side by side
Latest weekly run · Nov 3
| Metric | BigQuery | Cloudera |
|---|---|---|
| Visibility score | 63.6% | 1% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #2 | #25 |
| Share of voice | 12% | 0.5% |
| Mentions this run | 67 | 3 |
| Positive in AI answers | 41% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
BigQuery 0pp · Cloudera 0pp over 0 weekly runs.
Engine by engine
BigQuery leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | BigQuery | Cloudera |
|---|---|---|---|
| Official website of the top data warehouse vendors | ChatGPT | #5 | #11 |
| Official website of the top data warehouse vendors | Perplexity | #2 | #15 |
Features, pricing & fit
| Dimension | BigQuery | Cloudera |
|---|---|---|
| Deployment | Serverless, runs only on Google Cloud | Public clouds, sovereign clouds, private data centers, air-gapped networks and the edge |
| Compliance | SOC 1, SOC 2, SOC 3, ISO/IEC 27001, HIPAA, NIST 800-53, NIST 800-171, IRAP, GDPR, Cyber Essentials | — |
| Support | — | Support Portal, Cloudera Professional Services |
| Headquarters | — | Santa Clara, California, US |
| Employees | — | 1,001–5,000 |
| Funding | — | Take-private by KKR · $1041M raised |
| Best for | — | Large enterprises and public sector organizations that need AI and analytics on data spread across clouds, data centers and the edge. |
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
Cloudera
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “BigQuery vs Cloudera”, https://slateindex.ai/compare/bigquery-vs-cloudera, data of Nov 3, 2026. Licence: CC BY 4.0.