QlikvsYellowfin BI
How 10 AI models weigh Qlik against Yellowfin BI on the 1 buying question where both came up.
- Qlik
- 98%of answers named it
- Yellowfin BI
- 2%of answers named it
- Placed higher
- 40–0times Qlik vs Yellowfin BI, over 40 model rankings that listed either
- Models leaning
- 10–0toward Qlik vs Yellowfin BI
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 | Qlik | Yellowfin BI | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 100% | 0% | 4–0 | Qlik |
| GPT-6 Luna | 100% | 0% | 4–0 | Qlik |
| Gemini 4 Argon | 100% | 0% | 4–0 | Qlik |
| Qwen 3.8 Flash | 100% | 0% | 4–0 | Qlik |
| DeepSeek V4.1 Flash | 100% | 0% | 4–0 | Qlik |
| GLM-5.3 | 100% | 0% | 4–0 | Qlik |
| Kimi K3 | 100% | 0% | 4–0 | Qlik |
| MiniMax M3 | 83% | 0% | 4–0 | Qlik |
| Mistral Large 4 | 100% | 0% | 4–0 | Qlik |
| Nemotron 3.5 Super VL | 92% | 17% | 4–0 | Qlik |
What the models say about Qlik
One reason per model, from the shared questions
- Claude Haiku 5.5
Powerful associative engine for exploring complex, multi-source data.
- GPT-6 Luna
Flexible associative analytics helps users uncover relationships beyond predefined dashboard paths.
- Gemini 4 Argon
Its associative engine uncovers hidden data relationships that traditional query-based tools miss.
- Qwen 3.8 Flash
Powerful associative engine and strong data modeling capabilities.
- DeepSeek V4.1 Flash
Associative engine surfaces relationships other tools hide; strong governed self-service.
- GLM-5.3
Unique associative engine enables fast, intuitive data exploration.
- Kimi K3
Powerful associative engine for exploring relationships across data.
- MiniMax M3
Strong associative engine for exploratory data discovery
- Mistral Large 4
Strong associative engine enables powerful self-service discovery.
- Nemotron 3.5 Super VL
Associative engine enables free-form data discovery.
What the models say about Yellowfin BI
One reason per model, from the shared questions
No reasons given.
Over time
Share of answers that named each, on the questions where both came up, each time the panel answered
| Panel run | Qlik | Yellowfin BI |
|---|---|---|
| October 26, 2026 | 98% | 2% |
| October 25, 2026 | 98% | 0% |
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 | Qlik | Yellowfin BI |
|---|---|---|
| Best business intelligence tools | 98% #3 | 2% #23 |