Dataiku vs Snowflake Cortex AI
Four of fourteen models named Dataiku first on the direct prompt; two named Snowflake Cortex AI. Dataiku was named by eleven of the fourteen models and Snowflake Cortex AI by nine and Dataiku carries 23 labels and Snowflake Cortex AI 15, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the ML platforms page.
By framing
DataikuFirst choices, of fourteen modelsSnowflake Cortex AI
Across every category in the November 2026 Edition, Dataiku and Snowflake Cortex AI were named in the same answer fifteen times, of the 83 answers naming Dataiku and the 32 naming Snowflake Cortex AI. In those answers Snowflake Cortex AI took the first choice one time and Dataiku three.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | ||||
| Perplexity Sonar | | | ||||
| Grok 4.20 | | | | | ||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | |||||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | |||||
| Kimi K2 | | |||||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | | |
Dataiku Snowflake Cortex AI first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dataiku on the left and Snowflake Cortex AI on the right.The direct prompt
Dataiku first, Snowflake Cortex AI an alternative
4 of 14 modelsSnowflake Cortex AI was named in the answer but not as the choice, or not at all.Snowflake Cortex AI first, Dataiku an alternative
2 of 14 modelsDataiku was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Dataiku2%#11 of 15Snowflake Cortex AI0%#– of 15Dataiku9%#3 of 15Snowflake Cortex AI3%#6 of 15Dataiku6%#4 of 11Snowflake Cortex AI0%#9 of 11What the models said about Dataiku
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Best for limited data-science headcount + governance: Dataiku. End-to-end, no/low/full-code, strong governance/monitoring and vendor-agnostic.” Muse Glimmer 30B · direct prompt · first choice
“starting with KNIME or Dataiku's free tier allows you to prove value without spending money” Qwen 3.7 Flash · budget prompt · first choice
“Dataiku and Azure Machine Learning are frequently recommended as the sweet spot” Kimi K2 · direct prompt · first choice
What the models said about Snowflake Cortex AI
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Databricks / Snowflake ML ... compute costs scale aggressively” Gemini 3.5 Flash · negative prompt · soft negative
“I'd recommend starting with Snowflake Cortex AI or Databricks as they offer the best balance of capabilities” MiniMax M2.5 · direct prompt · first choice
“Azure Machine Learning and Snowflake Cortex AI are the top choices” Mistral Small · direct prompt · first choice
“lists Snowflake Cortex AI as a strong fit for firms already standardised on Snowflake” Muse Glimmer 30B · direct prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.