Small business=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 4% in September 2026
Inside the floor by 11 pointsRank 10 of 131, unchanged
Databricks · 2 categories · RankedDatabricks Mosaic AI
138Judge labels
30First choices
32Negative labels
14 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
44% in ML platforms for enterprise buyers
Rank 2 of 107 in the mid-market standingaccepted challenger
6 of 14 models made it the first choice on the direct prompt; 11% of its 44 labels there were negative.
What the models named instead of Databricks Mosaic AI →By buyer segmentStrongest at enterprise.
Small business10 of 139
3%32 labels
criticized challenger
Mid-market2 of 107
14%44 labels
accepted challenger
Enterprise1 of 65
44%60 labels
endorsed leader
In ml platforms · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Databricks Mosaic AI for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| ML platforms | Data platform | 14% | 2 of 107 | 11% | 44 | accepted challenger | ▼−5Since September 2026: 19% → 14%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Enterprise AI assistants | Data platform | 0% | 56 of 145 | 0% | 1 | under 10 labels · led by ChatGPT at 25% |
Movement
Since September 2026, Databricks Mosaic AI held within the floor in all two categories: no change cleared 11 points.
Best category · ML platforms · by segment
Mid-market▼−5Since September 2026: 19% → 14%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
14%from 19% in September 2026
Inside the floor by 6 pointsRank 1 → 2 of 97
Enterprise▲+10Since September 2026: 33% → 44%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
44%from 33% in September 2026
Inside the floor by 1 pointRank 1 of 55, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| ML platforms | 19% | 14% | ▼−5Since September 2026: 19% → 14%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 → 2 of 107 |
| Enterprise AI | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 56 of 145, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Databricks Mosaic AI across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Databricks Mosaic AI across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-5.4 mini | 1 | 1 | 1 | 0 | 3 |
| Gemini 3.5 Flash | 0 | 0 | 2 | 1 | 3 |
| Perplexity Sonar | 1 | 0 | 1 | 1 | 3 |
| Grok 4.20 | 1 | 3 | 1 | 0 | 5 |
| Mistral Small | 1 | 0 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 4 | 0 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 1 | 1 | 3 | 0 | 5 |
| Kimi K2 | 1 | 2 | 0 | 1 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 1 | 3 |
| MiniMax M2.5 | 1 | 1 | 0 | 0 | 2 |
| GPT-6 Luna | 1 | 2 | 0 | 0 | 3 |
| Muse Glimmer 30B | 0 | 2 | 2 | 0 | 4 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct26 labels17
Paraphrase28 labels11
Comparative37 labels3not counted in share
Budget-constrained15 labels1
Scale-constrained12 labels1
Negative20 labels3not counted in share
First choiceAlternativeMentionNegative138 labels in all, every segment counted; 30 of the 36 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Databricks (Mosaic AI) and Google Vertex AI are top choices due to their balance of power, ease of use, and integration with popular cloud ecosystems.” Mistral Small · ML platforms · direct prompt · first choice
“my default pick would be Databricks if you have moderate complexity and want fewer moving parts” Perplexity Sonar · ML platforms · paraphrase prompt · first choice
“I'd suggest starting with Databricks or DataRobot as they balance power with usability” MiniMax M2.5 · ML platforms · direct prompt · first choice
“I recommend Domino DataLab or Databricks as the top choices” Qwen 3.7 Flash · ML platforms · paraphrase prompt · first choice
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Databricks (full platform) | Can be expensive unless you already need the lakehouse architecture” Kimi K2 · ML platforms · paraphrase prompt · hard negative
“Nearly all major platforms (Databricks, SageMaker, Vertex AI, SAS) were flagged by users as having steep learning curves” DeepSeek V4 Flash · ML platforms · negative prompt · soft negative
“Steep learning curve - Confusing for newcomers... High cost - Particularly expensive for large data projects” GLM 4.7 FlashX · ML platforms · negative prompt · soft negative
“it can be overkill for smaller projects and can get expensive as usage scales” Perplexity Sonar · ML platforms · negative prompt · soft negative
Named alongside
The products named in the same answers as Databricks Mosaic AI, over the 136 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Databricks Mosaic AI was named but was not.ShowHide
Named alongside
The products named in the same answers as Databricks Mosaic AI, over the 136 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Databricks Mosaic AI was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Databricks Mosaic AI. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 126 of the 136 answers that named Databricks Mosaic AI and are not a share of its labels.
Domains cited
g2.com64
checkthat.ai44
learn.g2.com43
it-ai-index.com31
eweek.com27
databricks.comYour site25
devopsschool.com25
axis-intelligence.com24
dataiku.com23
guptadeepak.com22
303 of the 328 domain citations in answers naming Databricks Mosaic AI came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
databricks.com is not in Google's top ten for any of the category's searches. In the answers, Databricks Mosaic AI takes 14% of first choices and Azure Machine Learning takes 21%.ShowHide
Search and answers
databricks.com is not in Google's top ten for any of the category's searches. In the answers, Databricks Mosaic AI takes 14% of first choices and Azure Machine Learning takes 21%.
ShowHideIn search
Google, US estimatesPosition for “machine learning platform”
–
not in the top ten
Position for “machine learning platforms”
–
not in the top ten
- Searches for its name, Google
- 720 a month (“databricks mosaic ai”)
- AI search demand for its name, est.
- 17 a month
- Its company's site
- databricks.com shared with Databricks's other products; the figures are the site's
- Organic visits to its site
- about 689,756 a month
- Searches its site ranks for
- 43,327 · 6,682 in the top three
- Sites linking to it
- 33,328
- Paid Google search
- 33 searches its ads show for, about 570 clicks and $34,664 a month (estimate)
In answers
This editionShare of first choices
14%
rank 2 of 107 in ML platforms
Segment leader
21%
Azure Machine Learning
- First choices
- 30 across its categories
- Named in
- 136 answers
- Its own site cited
- in 126 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Names read as Databricks Mosaic AI
What the judge wrote, as written, with how often. The vendor table decides that these count as Databricks Mosaic AI; a claim can dispute any of them.
Databricks 35Databricks (Mosaic AI) 3Databricks Data Intelligence Platform 2Databricks Community Edition 1Databricks Machine Learning 1Databricks Machine Learning / Mosaic AI 1
Follow Databricks Mosaic AI
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Databricks is the company behind Databricks Mosaic AI.ShowHide
The company
Databricks is the company behind Databricks Mosaic AI.
ShowHideOn record
Company recordsIn its own words
Stated by the vendor, not checked- Positioning
- GenAI-powered chatbots and Databricks Agent Framework to make hundreds of thousands of internal documents instantly accessible for smarter decisions.
- For
- Manufacturing
- Free plan or trial
- Start your 14-day trial with up to $400 in free credits and try the workflow hands-on. databricks.com/product/artificial-intelligence
- Customers named
- CorningFactSetBlockIntercontinental Exchange (ICE)ComcastEdmundsADPCondé Nast
- Not stated on the pages read
- Price, starting price, integrations, certifications, hosting
What Databricks Mosaic AI's own pages state, read September 28, 2026: databricks.com/customers/corning-mosaic-ai, databricks.com/product/artificial-intelligence, databricks.com/customers/orizon/mosaic-ai, databricks.com/product/machine-learning/ml-council, databricks.com/customers/cycle-n-carriage/mosaic-ai. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Databricks Mosaic AI's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Databricks Mosaic AI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Databricks Mosaic AI by email, built from the raw record of the edition. It shows:
- where Databricks Mosaic AI is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Databricks Mosaic AI, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.
Badges
Wins only: a badge exists where Databricks Mosaic AI is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where Databricks Mosaic AI is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideDatabricks Mosaic AI is among the products AI models recommend first in ML platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.