AI Rankings · business intelligence and analytics software · Australia
Databricks, according to AI (October 2026)
When a buyer in Australia asked ChatGPT, Gemini or Google AI Mode for business intelligence and analytics software, Databricks came up in 10 of 180 answers. That puts it #13 of the 246 companies AI named in Australia.
In 8 of those 10 answers AI recommended it. In the other 2 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 | #13of 246 | 6% | 80% | 5.4 | 6 of 60 |
 ChatGPT | #40of 132 | 2% | 0% | 10.0 | 1 of 60 |
 Gemini | #8of 138 | 8% | 80% | 5.8 | 5 of 60 |
 Google AI Mode | #11of 104 | 7% | 100% | 3.8 | 4 of 60 |
Gemini names Databricks most often, ChatGPT least. Power BI 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 | Power BI107 answers ahead of you | 67% | 60% | 73% | 62% |
| 10 | Phocas Software2 answers ahead of you | 7% | 5% | 7% | 8% |
| 11 | SAP2 answers ahead of you | 7% | 15% | 2% | 3% |
| 12 | Zoho Analytics1 answer ahead of you | 6% | 8% | 10% | |
| 13 | Databricksyou | 6% | 2% | 8% | 7% |
Zoho Analytics is 1 answer ahead of you, Fathom level with you.
See, question by question, who took the spot →In AI’s own words
How the engines described Databricks when they named it, word for word, from the October 2026 answers.
The platforms and architectural shifts gaining traction locally include: Databricks (Lakehouse Platform): Moving past traditional data warehouses, larger Australian omnichannel and pure-play…
Moving past traditional data warehouses, larger Australian omnichannel and pure-play retailers are adopting Databricks to unify siloed online and in-store customer data.
It is heavily used for advanced machine learning use cases like real-time product recommendations, demand forecasting, and predicting customer churn before it happens.
AI states 9 facts about Databricks
In the October 2026 answers, AI describes your company in 9 statements: 9 about the service.
Findrix checks each one against your own facts, statement by statement, and writes the correction email for you.
Check all 9 in Findrix →What to do with this report
Get named where you are not
Databricks appeared in 6 of the 60 buyer questions. Findrix runs the other 54 for you and shows who AI names there instead, and which sites got them the spot.
Fix what AI gets wrong
AI states 9 facts about Databricks. 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.
← Back to Business intelligence and analytics software in AustraliaRequest a correction or removal
Get Databricks recommended by AISee what AI says about your company, who it names instead, and what to change so it names you.