가장 좋은 머신러닝 플랫폼은?
AI Visibility Ranking
Brands ordered by GenRank score for this question.
DirectionalQuestion-level figures rest on at most 24 answers per brand, so treat them as direction, not a verdict; the category ranking is the number to judge by. Scores are for the week of 2026-11-08. ± is the 95% confidence interval where the sampling allows one.
| Rank | Brand | Named by | Score |
|---|---|---|---|
| 1 | Amazon SageMaker | 20/24 | 65.0±10.9 |
| 2 | Google Vertex AI | 21/24 | 64.8±16.4 |
| 3 | Azure Machine Learning | 20/24 | 49.4±10.0 |
| 4 | Databricks | 13/24 | 35.2±3.5 |
| 5 | PyTorch | 13/24 | 30.9±16.5 |
| 6 | Google Colab | 6/24 | 30.6±8.2 |
| 7 | GCP | 9/24 | 24.2±18.3 |
| 8 | MLflow | 13/24 | 23.1±12.9 |
| 9 | TensorFlow | 11/24 | 22.6±15.9 |
| 10 | AWS | 9/24 | 22.6±17.2 |
Sources these answers cited
The sites each surface's answer cited this week. The logos are the surfaces that cited the site.
| Source | Oct 25, 2026 | Nov 1, 2026 | Cited by |
|---|---|---|---|
| unite.ai최고의 머신러닝 소프트웨어 플랫폼 10선 (10월 2026) – Unite.AI | 1 | 3 | |
| aws.amazon.comshoppingMachine Learning Service – Amazon Sagemaker AI – AWS | 1 | - | |
| cloud.google.comportalGemini Enterprise Agent Platform (formerly Vertex AI) | Google Cloud | 2 | - | |
| curohq.comMachine Learning Projects in 2026: Platforms & Trends | - | 1 | |
| datacamp.com2026년에 머신러닝을 배울 최고의 플랫폼 | - | 1 | |
| devopsschool.comTop 10 Machine Learning Platforms in 2026: Features, Pros, Cons ... | 2 | - | |
| samsungsds.comSamsung Cloud Platform (삼성 클라우드 플랫폼, SCP) | 클라우드 | 삼성SDS | - | 1 | |
| atlantic.net8 of the Most Popular Machine Learning Tools in 2026 | - | - | |
| b-log87.tistory.comportal주요 머신러닝 학습 플랫폼 비교 분석, 어떤 플랫폼이 최적일까? | - | 1 | |
| coddy.tech코딩 학습에 가장 좋은 사이트 (2026): 솔직한 추천 | - | 1 | |
| coursebox.ai마이크로러닝 플랫폼 추천 9선(2026): 교수설계자가 직접 고른 도구 | Coursebox AI | - | 1 | |
| docs.databricks.comMachine learning on Databricks | Databricks on AWS | 1 | 1 |
16 more
Rank trend
Top 10 brands across editions. Five highlighted; the rest in gray.
| Brand | Oct 25, 2026 | Nov 1, 2026 | Nov 8, 2026 |
|---|---|---|---|
| Amazon SageMaker | 2 | 2 | 1 |
| Google Vertex AI | 1 | 1 | 2 |
| Azure Machine Learning | 3 | 3 | 3 |
| Databricks | 4 | 4 | 4 |
| PyTorch | 5 | 5 | 5 |
| Google Colab | 9 | 6 | 6 |
| GCP | - | 7 | 7 |
| MLflow | 7 | 9 | 8 |
| TensorFlow | 6 | 10 | 9 |
| AWS | - | 8 | 10 |
| Brand | Oct 25, 2026 | Nov 1, 2026 | Nov 8, 2026 |
|---|---|---|---|
| Amazon SageMaker | 2 | 2 | 1 |
| Google Vertex AI | 1 | 1 | 2 |
| Azure Machine Learning | 3 | 3 | 3 |
| Databricks | 4 | 4 | 4 |
| PyTorch | 5 | 5 | 5 |
| Google Colab | 9 | 6 | 6 |
| GCP | - | 7 | 7 |
| MLflow | 7 | 9 | 8 |
| TensorFlow | 6 | 10 | 9 |
| AWS | - | 8 | 10 |
| Scikit-learn | 12 | 15 | 11 |
| Kubeflow | 8 | 11 | 12 |
| Dataiku | 10 | 12 | 13 |
| Apache Spark | - | 16 | 17 |
| Keras | - | 34 | 20 |
| Hugging Face ecosystem | 13 | 18 | 23 |
| Gemini | - | 20 | 25 |
| Microsoft Azure OpenAI Service | - | 33 | 37 |
| BigQuery | - | 36 | 39 |