ML platforms · October 2026 Edition
DataRobot vs TensorFlow
Two of fourteen models named DataRobot first on the direct prompt; zero named TensorFlow. DataRobot was named by nine of the fourteen models and TensorFlow by eight and DataRobot carries 19 labels and TensorFlow 10, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 13; printed, not drawn.
Labels1910A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, DataRobot reading right to left. Rank and label count are printed, not drawn.Databricks Mosaic AI was named alongside these two in ten of the fourteen direct answers. Azure Machine Learning vs DataRobot · Azure Machine Learning vs TensorFlow · Databricks Mosaic AI vs DataRobot
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.
DataRobotFirst choices, of fourteen modelsTensorFlow
Direct20
Paraphrase00
Comparative00
Budget-constrained01
Scale-constrained00
Negative002 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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where DataRobot and TensorFlow stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 |
DataRobot TensorFlow first choice named as an alternative argued againstblank: not namedEach cell is one answer, DataRobot on the left and TensorFlow on the right.The direct prompt
The plain question, one answer per model, grouped by where DataRobot and TensorFlow stood in it.
DataRobot first, TensorFlow not the choice
2 of 14 modelsTensorFlow 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
MiniMax M2.5DataRobot, Databricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI
Neither was the first choice, one was named
3 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
Neither was named
9 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Amazon SageMaker, Databricks Mosaic AI alternatives: Azure Machine Learning
GPT-5.4 miniDatabricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI
Gemini 3.5 FlashPecan AI alternatives: Akkio, Azure Machine Learning, Dataiku, Google BigQuery ML, Snowflake Cortex AI
Mistral SmallDatabricks Mosaic AI, Google Vertex AI alternatives: Amazon SageMaker
Llama 4 Maverickno first choice
Kimi K2Azure Machine Learning, Databricks Mosaic AI alternatives: Amazon SageMaker, Google Vertex AI
GLM 4.7 FlashXno first choice
GPT-6 LunaDatabricks Mosaic AI alternatives: Azure Machine Learning, Google Vertex AI, SageMaker AI, Snowflake Cortex AI
Muse Glimmer 30BAzure Machine Learning alternatives: Amazon SageMaker, Databricks Mosaic AI
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
TensorFlow leads by two points.
TensorFlow3%#7 of 14DataRobot2%#12 of 14Mid-marketThe figures above
The order flips: DataRobot leads at mid-market.
DataRobot4%#7 of 13TensorFlow2%#8 of 13Enterprise
DataRobot leads by seven points.
DataRobot7%#6 of 10TensorFlow0%#– of 10What 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
What the models said about TensorFlow
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“start with open-source tools like TensorFlow or PyTorch combined with Google Colab” Kimi K2 · budget prompt · first choice
“For flexibility: Consider open-source options (TensorFlow, PyTorch) with proper security management” MiniMax M2.5 · negative prompt · alternative
“especially scikit-learn, XGBoost, and TensorFlow—because the software itself is free” Perplexity Sonar · budget prompt · alternative
Also compared
Azure Machine Learning vs DataRobotAzure Machine Learning vs TensorFlowDatabricks Mosaic AI vs DataRobotDatabricks Mosaic AI vs TensorFlowAmazon SageMaker vs DataRobotAmazon SageMaker vs TensorFlowGoogle Vertex AI vs DataRobotGoogle Vertex AI vs TensorFlowGoogle Colab vs DataRobotGoogle Colab vs TensorFlowMLflow vs DataRobotMLflow vs TensorFlowAll twenty-eight head-to-head pages and the full ML platforms standing
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.