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ML platforms · October 2026 Edition

Databricks Mosaic AI vs Google Vertex AI

Six of fourteen models named Databricks Mosaic AI first on the direct prompt; two named Google Vertex AI. Both were named by all fourteen models and Databricks Mosaic AI carries 44 labels and Google Vertex AI 57, so the shares are not directly comparable.

Databricks Mosaic AI

accepted challenger

Named in two categories this edition.

Google Vertex AI

accepted challenger

Named in three categories this edition.

First-choice share14%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%19%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 13; printed, not drawn.
Labels4457A 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 Google Vertex AI · 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 modelsGoogle Vertex AI
Direct62
Paraphrase221 against Databricks Mosaic AI
Comparative001 against Google Vertex AI
Budget-constrained011 against Google Vertex AI
Scale-constrained00
Negative104 against Databricks Mosaic AI · 9 against Google Vertex AI
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 Google Vertex AI were named in the same answer 107 times, of the 136 answers naming Databricks Mosaic AI and the 173 naming Google Vertex AI. In those answers Google Vertex AI took the first choice nine times and Databricks Mosaic AI twenty-six.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Databricks Mosaic AI and Google Vertex AI 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 Google Vertex AI first choice named as an alternative argued againstblank: not namedEach cell is one answer, Databricks Mosaic AI on the left and Google Vertex AI on the right.

The direct prompt

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

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Mistral SmallDatabricks Mosaic AI, Google Vertex AI alternatives: Amazon SageMaker

Databricks Mosaic AI first, Google Vertex AI an alternative

5 of 14 modelsGoogle Vertex AI 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
Kimi K2Azure Machine Learning, Databricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI
MiniMax M2.5DataRobot, 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

Google Vertex AI first, Databricks Mosaic AI not the choice

1 of 14 modelsDatabricks Mosaic AI was named in the answer but not as the choice, or not at all.
Perplexity SonarAzure Machine Learning, Google Vertex AI alternatives: Amazon Forecast, DataRobot

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.
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
Qwen 3.7 FlashDataRobot alternatives: Azure Machine Learning, Databricks Mosaic AI, HubSpot Spot Intelligence, Salesforce Einstein, Snowflake Cortex 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
Google Vertex AI leads by sixteen points.
Google Vertex AI19%#1 of 14
Databricks Mosaic AI3%#8 of 14
The full small business standing →
Mid-marketThe figures above
The order flips: Databricks Mosaic AI leads at mid-market.
Databricks Mosaic AI14%#2 of 13
Google Vertex AI9%#4 of 13
The full mid-market standing →
Enterprise
Databricks Mosaic AI leads by forty points.
Databricks Mosaic AI44%#1 of 10
Google Vertex AI4%#7 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 Google Vertex 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.

“it is often recommended to avoid for small teams or startups due to complexity and cost concerns” Mistral Small · negative prompt · hard negative
“Some AI models advise against using this service for enterprise tasks until stability improves.” Llama 4 Maverick · negative prompt · hard negative
“be cautious if you are not already on Google Cloud, have a limited budget, or need a small-scale/simple setup” Perplexity Sonar · negative prompt · soft negative
“the most recommended MLOps platforms for training and deploying models are Vertex AI and Amazon SageMaker” Mistral Small · paraphrase prompt · first choice
“Azure Machine Learning and Google Vertex AI are the most broadly suitable platform choices” Perplexity Sonar · direct prompt · first choice
“I'd usually recommend Amazon SageMaker or Google Vertex AI as the best default choices” GPT-5.4 mini · paraphrase prompt · first choice
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.