AI Rankings · ai and machine learning platforms · Australia
Dataiku, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for AI and machine learning platforms, Dataiku came up in 13 of 180 answers. That puts it #9 of the 315 companies AI named in Australia.
In 12 of those 13 answers AI recommended it. In the other one it only mentioned it.
- 60 buyer questions
- 180 answers read
- 3 engines
Where you stand
Your totals across all 3 engines first, then the same numbers engine by engine. Rank is your place among the companies that engine named in Australia. Mention rate is the share of that engine’s answers that name you. Recommendation rate is the share of your mentions where you are put forward as a recommendation, not just named. Average position is the place you take in an answer that names you, 1 means first. Questions you appear in is how many of the 60 buyer questions named you at least once.
| Engine | Rank | Mention rate | Recommendation rate | Average position | Questions you appear in |
|---|---|---|---|---|---|
| All 3 engines | #9of 315 | 7% | 92% | 4.6 | 10 of 60 |
 ChatGPT | #9of 169 | 7% | 100% | 4.8 | 4 of 60 |
 Gemini | #13of 147 | 7% | 100% | 4.5 | 4 of 60 |
 Google AI Mode | #9of 127 | 8% | 80% | 4.6 | 5 of 60 |
Google AI Mode names Dataiku most often, Gemini least. Microsoft Azure leads on all 3 engines.
Named instead of you
The leader, the three named right above you, and you. Share of answers that name each one, overall and on each engine.
| Rank | company | Mention rate | ChatGPT | Gemini | Google AI Mode |
|---|---|---|---|---|---|
| 1 | Microsoft Azure49 answers ahead of you | 36% | 32% | 38% | 33% |
| 6 | MLflow3 answers ahead of you | 9% | 7% | 10% | 10% |
| 7 | Anthropic2 answers ahead of you | 8% | 7% | 8% | 10% |
| 8 | Amazon SageMaker Model Governance & Clarify1 answer ahead of you | 8% | 8% | 7% | 8% |
| 9 | Dataikuyou | 7% | 7% | 7% | 8% |
Amazon SageMaker Model Governance & Clarify is 1 answer ahead of you, Snowflake 2 behind.
See, question by question, who took the spot →In AI’s own words
How the engines described Dataiku when they named it, word for word, from the October 2026 answers.
…subscriber churn using CDR, billing and customer-care data. [2] Dataiku — worth considering if you want more visual/no-code workflow management for data scientists and business teams
It supports automated retraining, drift monitoring, and deployment across Databricks, SageMaker, Azure ML and others.
An enterprise AI platform that acts as a central hub connecting data analysts, engineers, and data scientists.
AI states 21 facts about Dataiku
In the October 2026 answers, AI describes your company in 21 statements: 21 about the service.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 21 in Findrix →What to do with this report
Get named where you are not
Dataiku appeared in 10 of the 60 buyer questions. Findrix runs the other 50 for you and shows who AI names there instead, and which sites got them the spot.
Fix what AI gets wrong
AI states 21 facts about Dataiku. Findrix puts each one next to your own facts and writes the correction email for you to send.
Watch it move
In your inbox: a report after every scan and a monthly PDF for your team. An email when a fix worked or a rival overtakes you, and right away if your site blocks AI bots or goes down.
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