BigQueryvsTeradata
How 10 AI models weigh BigQuery against Teradata on the 1 buying question where both came up.
- BigQuery
- 100%of answers named it
- Teradata
- 69%of answers named it
- Placed higher
- 40–0times BigQuery vs Teradata, over 40 model rankings that listed either
- Models leaning
- 10–0toward BigQuery vs Teradata
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording
| Model | BigQuery | Teradata | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 100% | 4–0 | BigQuery |
| GPT-6 Luna | 100% | 100% | 4–0 | BigQuery |
| Gemini 4 Argon | 100% | 92% | 4–0 | BigQuery |
| Qwen 3.8 Flash | 100% | 17% | 4–0 | BigQuery |
| DeepSeek V4 Pro | 100% | 58% | 4–0 | BigQuery |
| GLM-5.3 | 100% | 100% | 4–0 | BigQuery |
| Kimi K3 | 100% | 75% | 4–0 | BigQuery |
| MiniMax M3 | 100% | 17% | 4–0 | BigQuery |
| Mistral Large 4 | 100% | 50% | 4–0 | BigQuery |
| Nemotron 3 Ultra | 100% | 83% | 4–0 | BigQuery |
What the models say about BigQuery
One reason per model, from the shared questions
- Claude Haiku 5.5
Serverless, highly scalable, and very fast for large analytical queries with low ops burden.
- GPT-6 Luna
Serverless simplicity, fast analytics, and tight integration with Google Cloud and data science tools.
- Gemini 4 Argon
True serverless architecture with incredible speed on massive datasets and deeply integrated machine learning.
- Qwen 3.8 Flash
Serverless scale, zero ops, excellent for large analytics.
- DeepSeek V4 Pro
Serverless, brilliant SQL on JSON, strong ML integration, pay-per-query model.
- GLM-5.3
Serverless ease, strong ecosystem, best value for analytics-heavy Google shops.
- Kimi K3
Serverless simplicity, unmatched scalability, strong pricing for bursty analytics workloads.
- MiniMax M3
Serverless, pay-per-query, excellent ML integration with Vertex AI.
- Mistral Large 4
Serverless simplicity, blazing analytics speed, and deep AI/ML integration.
- Nemotron 3 Ultra
Serverless scale, SQL-native, GCP integration
What the models say about Teradata
One reason per model, from the shared questions
- Claude Haiku 5.5
Long-established enterprise warehouse with strong workload management for complex queries.
- GPT-6 Luna
Robust performance and workload management for complex, large-scale enterprise analytics.
- Gemini 4 Argon
Proven hybrid multi-cloud performance for the largest, most complex enterprise workloads.
- GLM-5.3
Battle-tested enterprise warehouse still strong for complex, governed analytics.
- Kimi K3
Proven enterprise-scale performance and workload management for large regulated organizations.
- Mistral Large 4
Proven enterprise-grade performance for massive, complex analytical workloads.
- Nemotron 3 Ultra
Enterprise MPP heritage, multi-cloud deployment
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | BigQuery | Teradata |
|---|---|---|
| Best cloud data warehouses | 100% #1 | 69% #10 |