Azure Machine Learning vs MLflow:Which is searched more?
In September 2026, MLflow had more branded searches than Azure Machine Learning among machine learning platforms worldwide. MLflow had about 49,500 branded searches, while Azure Machine Learning had 6,600. MLflow made up 3.3% of all machine learning platform searches we track, and Azure Machine Learning accounted for 0.43%. These are worldwide searches for English-language branded terms.
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Is Azure Machine Learning or MLflow more popular in search?
Compare the platforms teams build machine learning on. Branded searches tell you how often people look for a brand by name or related terms. Comparing these searches across competitors helps you see how popular each brand is over time.
Share of searches by month for MLflow, Azure Machine Learning. The figures are in the table below the chart.
View monthly share of searches table
| Month | H2O.ai | Databricks | Google Cloud Vertex AI | Weights & Biases | MLflow | Amazon SageMaker | Dataiku | DataRobot | Azure Machine Learning | Domino Data Lab |
|---|---|---|---|---|---|---|---|---|---|---|
| Oct 2025 | 48.1% | 26.2% | 7.8% | 4.6% | 3.5% | 3.8% | 3.5% | 1.3% | 0.86% | 0.21% |
| Nov 2025 | 43.1% | 28.6% | 10.5% | 5.1% | 3.8% | 3.6% | 3.1% | 1.2% | 0.77% | 0.18% |
| Dec 2025 | 44.2% | 29.4% | 10.8% | 5% | 3.2% | 3.1% | 2.6% | 0.97% | 0.65% | 0.16% |
| Jan 2026 | 43.7% | 29% | 10.7% | 4.9% | 3.2% | 3.3% | 3.2% | 0.96% | 0.78% | 0.19% |
| Feb 2026 | 44.4% | 29.5% | 10.8% | 4.3% | 3.2% | 3.1% | 2.7% | 0.97% | 0.79% | 0.19% |
| Mar 2026 | 42.3% | 28.1% | 12.6% | 5% | 3.8% | 3.2% | 3.1% | 0.92% | 0.76% | 0.22% |
| Apr 2026 | 42.2% | 28% | 12.5% | 5.8% | 3.8% | 2.9% | 3.1% | 0.92% | 0.62% | 0.18% |
| May 2026 | 44.2% | 29.4% | 10.8% | 5% | 3.2% | 2.8% | 2.6% | 0.97% | 0.65% | 0.35% |
| Jun 2026 | 42.5% | 34.6% | 8.5% | 4.1% | 3.1% | 2.7% | 3.1% | 0.76% | 0.51% | 0.18% |
| Jul 2026 | 47.1% | 31.3% | 7.7% | 3.7% | 3.4% | 2.4% | 2.8% | 0.84% | 0.46% | 0.2% |
| Aug 2026 | 48.1% | 32.1% | 6.4% | 3.6% | 3.5% | 2.5% | 2.4% | 0.71% | 0.38% | 0.26% |
| Sep 2026 | 44.4% | 36.2% | 6% | 3.4% | 3.3% | 2.8% | 2.7% | 0.65% | 0.43% | 0.29% |
How has the Azure Machine Learning and MLflow comparison changed over the last 12 months?
3 findings
- MLflow was ahead of Azure Machine Learning in every measured month of the 12 months ending September 2026.
- Across the 12 months ending September 2026, Azure Machine Learning’s share of searches among machine learning platforms worldwide moved from 0.86% to 0.43%, and its estimated monthly branded searches moved from 14.8K to 6.6K.
- Across the 12 months ending September 2026, MLflow’s share of searches among machine learning platforms worldwide moved from 3.5% to 3.3%, and its estimated monthly branded searches moved from 60.5K to 49.5K.
How did search popularity change for machine learning platforms worldwide in September 2026?
2 changes
Estimated monthly branded searches for Azure Machine Learning worldwide fell 55.4% over 12 measured months, from 14.8K to 6.6K in September 2026.
Estimated monthly branded searches for MLflow worldwide fell 18.2% over 12 measured months, from 60.5K to 49.5K in September 2026.
How are branded searches counted?
2 search terms
Brandwave collects information about searches that people make online using Azure Machine Learning’s and MLflow’s names. When viewed over time, estimated search volumes for these branded terms can be used to understand whether interest in the brands is growing, holding steady, or fading.
Azure Machine Learning
1 branded search term
- azure machine learning
MLflow
1 branded search term
- mlflow
Other head-to-heads among machine learning platforms
H2O.ai vs Databricks: compare search popularity
H2O.ai vs Google Cloud Vertex AI: compare search popularity
H2O.ai vs Weights & Biases: compare search popularity- H2O.ai vs MLflow: compare search popularity
- Databricks vs Google Cloud Vertex AI: compare search popularity
- Databricks vs Weights & Biases: compare search popularity
Put your own brand in this comparison
Brandwave tracks your branded demand next to the rival you actually watch, with your campaigns, spend and outcomes on the same timeline.