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ML platforms · October 2026 Edition

Databricks Mosaic AI vs DataRobot

Six of fourteen models named Databricks Mosaic AI first on the direct prompt; two named DataRobot. Databricks Mosaic AI was named by fourteen of the fourteen models and DataRobot by nine and Databricks Mosaic AI carries 44 labels and DataRobot 19, so the shares are not directly comparable.

Databricks Mosaic AI

accepted challenger

Named in two categories this edition.

DataRobot

accepted challenger

Named in two categories this edition.

First-choice share14%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 13; printed, not drawn.
Labels4419A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Databricks Mosaic AI reading right to left. Rank and label count are printed, not drawn.Azure Machine Learning was named alongside these two in nine of the fourteen direct answers. Azure Machine Learning vs Databricks Mosaic AI · Azure Machine Learning vs DataRobot · Databricks Mosaic AI vs Amazon SageMaker

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Databricks Mosaic AIFirst choices, of fourteen modelsDataRobot
Direct62
Paraphrase201 against Databricks Mosaic AI
Comparative00
Budget-constrained00
Scale-constrained00
Negative104 against Databricks Mosaic AI · 2 against DataRobot
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Databricks Mosaic AI and DataRobot were named in the same answer forty-four times, of the 136 answers naming Databricks Mosaic AI and the 74 naming DataRobot. In those answers DataRobot took the first choice four times and Databricks Mosaic AI eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Databricks Mosaic AI and DataRobot stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
Databricks Mosaic AI DataRobot first choice named as an alternative argued againstblank: not namedEach cell is one answer, Databricks Mosaic AI on the left and DataRobot on the right.

The direct prompt

The plain question, one answer per model, grouped by where Databricks Mosaic AI and DataRobot stood in it.

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
MiniMax M2.5DataRobot, Databricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI

Databricks Mosaic AI first, DataRobot not the choice

5 of 14 modelsDataRobot was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Amazon SageMaker, Databricks Mosaic AI alternatives: Azure Machine Learning
GPT-5.4 miniDatabricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI
Mistral SmallDatabricks Mosaic AI, Google Vertex AI alternatives: Amazon SageMaker
Kimi K2Azure Machine Learning, Databricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI
GPT-6 LunaDatabricks Mosaic AI alternatives: Azure Machine Learning, Google Vertex AI, SageMaker AI, Snowflake Cortex AI

DataRobot first, Databricks Mosaic AI an alternative

1 of 14 modelsDatabricks Mosaic AI was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashDataRobot alternatives: Azure Machine Learning, Databricks Mosaic AI, HubSpot Spot Intelligence, Salesforce Einstein, Snowflake Cortex AI

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarAzure Machine Learning, Google Vertex AI alternatives: Amazon Forecast, DataRobot
Grok 4.1 FastAzure Machine Learning alternatives: Amazon SageMaker, DataRobot, Databricks Mosaic AI, Google Vertex AI, H2O.ai
DeepSeek V4 FlashAzure Machine Learning alternatives: Amazon SageMaker, DataRobot, Databricks Mosaic AI, Dataiku, Google Vertex AI
Muse Glimmer 30BAzure Machine Learning alternatives: Amazon SageMaker, Databricks Mosaic AI

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashPecan AI alternatives: Akkio, Azure Machine Learning, Dataiku, Google BigQuery ML, Snowflake Cortex AI
Llama 4 Maverickno first choice
GLM 4.7 FlashXno first choice

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Databricks Mosaic AI leads by two points.
Databricks Mosaic AI3%#8 of 14
DataRobot2%#12 of 14
The full small business standing →
Mid-marketThe figures above
Databricks Mosaic AI leads by eleven points.
Databricks Mosaic AI14%#2 of 13
DataRobot4%#7 of 13
The full mid-market standing →
Enterprise
Databricks Mosaic AI leads by thirty-eight points.
Databricks Mosaic AI44%#1 of 10
DataRobot7%#6 of 10
The full enterprise standing →

What the models said about Databricks Mosaic AI

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Databricks (full platform) | Can be expensive unless you already need the lakehouse architecture” Kimi K2 · 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 · negative prompt · soft negative
“Steep learning curve - Confusing for newcomers... High cost - Particularly expensive for large data projects” GLM 4.7 FlashX · negative prompt · soft negative
“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 · direct prompt · first choice
“my default pick would be Databricks if you have moderate complexity and want fewer moving parts” Perplexity Sonar · paraphrase prompt · first choice
“I'd suggest starting with Databricks or DataRobot as they balance power with usability” MiniMax M2.5 · direct prompt · first choice

What the models said about DataRobot

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“Avoid enterprise-scale platforms like SageMaker, Dataiku, or DataRobot — they're overkill” DeepSeek V4 Flash · negative prompt · hard negative
“Tools like DataRobot, Alteryx, or RapidMiner promise to make ML easy... they can be problematic for dedicated data science teams.” Qwen 3.7 Flash · negative prompt · soft negative
“I'd suggest starting with Databricks or DataRobot as they balance power with usability” MiniMax M2.5 · direct prompt · first choice
“The Best Overall for Speed & Ease of Use: DataRobot” Qwen 3.7 Flash · direct prompt · first choice
“DataRobot is the best fit if you want the fastest path to usable models with less ML engineering overhead” Perplexity Sonar · direct prompt · alternative
Also compared

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.