# Azure Machine Learning vs TensorFlow Comparison - What are their main differences?

 ![Azure Machine Learning](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f176b4154a751d10150daa67a57b7dc5/azure-machine-learning-studio.jpg "Azure Machine Learning")

 ![TensorFlow](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d9a7abebb513247473f9558b56431a72/tensorflow.jpg "TensorFlow")

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At a Glance

Star Rating

**Azure Machine Learning** [

4.3/5(90)

](https://www.g2.com/products/microsoft-azure-machine-learning/reviews#reviews)

**TensorFlow** [

4.5/5(139)

](https://www.g2.com/products/tensorflow/reviews#reviews)

Market Segments

**Azure Machine Learning**
Enterprise (40.2% of reviews)

**TensorFlow**
Small-Business (52.2% of reviews)

Pros & Cons

**Azure Machine Learning**
[
Ease of Use (3)
](https://www.g2.com/products/microsoft-azure-machine-learning/reviews?filters%5Bsentiment_snippet%5D=1121642&qs=pros-and-cons#reviews)[
Features (3)
](https://www.g2.com/products/microsoft-azure-machine-learning/reviews?filters%5Bsentiment_snippet%5D=1121962&qs=pros-and-cons#reviews)[
Learning Curve (3)
](https://www.g2.com/products/microsoft-azure-machine-learning/reviews?filters%5Bsentiment_snippet%5D=1122195&qs=pros-and-cons#reviews)[
Difficult Navigation (2)
](https://www.g2.com/products/microsoft-azure-machine-learning/reviews?filters%5Bsentiment_snippet%5D=1122310&qs=pros-and-cons#reviews)

**TensorFlow**
[
Machine Learning (23)
](https://www.g2.com/products/tensorflow/reviews?filters%5Bsentiment_snippet%5D=1102438&qs=pros-and-cons#reviews)[
AI Integration (19)
](https://www.g2.com/products/tensorflow/reviews?filters%5Bsentiment_snippet%5D=2059966&qs=pros-and-cons#reviews)[
Steep Learning Curve (25)
](https://www.g2.com/products/tensorflow/reviews?filters%5Bsentiment_snippet%5D=2059983&qs=pros-and-cons#reviews)[
Complexity (8)
](https://www.g2.com/products/tensorflow/reviews?filters%5Bsentiment_snippet%5D=1102841&qs=pros-and-cons#reviews)

Entry-Level Pricing

**Azure Machine Learning**
No pricing available

**TensorFlow**
No pricing available

Summary

AI Generated Summary

AI-generated. Powered by real user reviews.

- **G2 reviewers report** that TensorFlow excels in user satisfaction, boasting a higher overall score compared to Azure Machine Learning. Users appreciate its capabilities for developing complex applications, such as face detection, highlighting its effectiveness in handling intricate neural network tasks.
- **Users say** that TensorFlow's recent activity indicates a vibrant community, with multiple reviews in the last 90 days, suggesting that it remains a popular choice among developers. In contrast, Azure Machine Learning has not received any recent reviews, which may raise concerns about its current user engagement.
- **Reviewers mention** that TensorFlow's ease of use is commendable, particularly for those familiar with machine learning concepts. Users have noted its efficiency in executing complex tasks, making it a preferred tool for advanced projects, while Azure Machine Learning is praised for its user-friendly interface, which is beneficial for less technical users.
- **According to verified reviews** , TensorFlow shines in model training and deep learning capabilities, with users highlighting its robust features for artificial neural networks. Azure Machine Learning, while also capable, is seen as slightly less powerful in these areas, with users noting it has predefined services that may limit customization.
- **Users appreciate** Azure Machine Learning for its predefined services that cater to business needs, making it easy to create experiments and deploy models. However, some users feel that the interface could be improved, whereas TensorFlow's flexibility allows for more tailored solutions, albeit with a steeper learning curve.
- **Reviewers highlight** that both platforms offer strong support, but TensorFlow's community-driven resources and documentation are particularly beneficial for troubleshooting and learning. Azure Machine Learning users also report good support, but the reliance on external resources for implementation can be a drawback for some.

Pricing

Entry-Level Pricing

**Azure Machine Learning**

Azure Machine Learning
No pricing available

**TensorFlow**

TensorFlow
No pricing available

Free Trial

**Azure Machine Learning**

Azure Machine Learning
No trial information available

**TensorFlow**

TensorFlow
No trial information available

Ratings

Meets Requirements

8.5

83

9.1

120

Ease of Use

8.5

82

8.0

125

Ease of Setup

8.3

59

8.3

103

Ease of Admin

8.3

49

7.9

39

Quality of Support

8.6

76

8.7

106

Has the product been a good partner in doing business?

8.6

47

8.3

36

Product Direction (% positive)

9.0

81

9.2

119

Features by Category

Data Science and Machine Learning Platforms[Hide 75 FeaturesShow 75 Features](javascript:void(0);)

8.4

58

8.4

108

System

Data Ingestion & Wrangling

8.7(won by 0.2)

23

8.5

70

Real-Time Data

Not enough data

Not enough data

Model Development

Language Support

8.6

51

8.9(won by 0.3)

98

Drag and Drop

8.9(won by 1.6)

54

 (There is a greater than 0.5 difference between this product's rating and its competitors)

7.3

84

Pre-Built Algorithms

8.3

53

8.7(won by 0.4)

97

Model Training

8.7

52

9.2(won by 0.5)

96

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Database Support

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Model Development

Feature Engineering

8.4

21

9.0(won by 0.6)

69

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Machine/Deep Learning Services

Computer Vision

8.1

45

9.1(won by 1.0)

95

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Natural Language Processing

7.9

45

9.0(won by 1.1)

89

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Natural Language Generation

7.8

38

8.8(won by 1.0)

87

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Artificial Neural Networks

8.2

42

9.4(won by 1.2)

97

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Machine/Deep Learning Services

Natural Language Understanding

8.7(won by 0.1)

21

8.6

64

Deep Learning

8.5

21

9.2(won by 0.7)

68

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Deployment

Managed Service

8.8(won by 0.3)

51

8.5

80

Application

8.7(tied score)

52

8.7(tied score)

90

Scalability

8.9

51

9.0(won by 0.1)

89

Additional Functionality

Customizable Reports

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Semantic Search

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Ad hoc Reporting

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Data Mapping

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

Statistical Analysis

Not enough data

Not enough data

Categorization/Grouping

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Data Profiling

Not enough data

Not enough data

Linked Data Management

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

API

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Ad hoc Analysis

Not enough data

Not enough data

Text Mining

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Predictive Modeling

Not enough data

Not enough data

Real-Time Analytics

Not enough data

Not enough data

Configurable Workflow

Not enough data

Not enough data

Tagging

Not enough data

Not enough data

Endpoint Management

Not enough data

Not enough data

No-Code

Not enough data

Not enough data

Data Preparation

Not enough data

Not enough data

Auditing

Not enough data

Not enough data

Big Data Analytics

Not enough data

Not enough data

ML Algorithm Library

Not enough data

Not enough data

Data Management

Not enough data

Not enough data

Activity Tracking

Not enough data

Not enough data

Data Security

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Generative AI

AI Text Generation

8.5(won by 0.5)

10

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.0

11

AI Text Summarization

8.2(won by 0.5)

10

 (There is a greater than 0.5 difference between this product's rating and its competitors)

7.7

11

AI Text-to-Image

7.5

10

8.0(won by 0.5)

11

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Generative AI

Not enough data

Not enough data

Agentic AI - Data Science and Machine Learning Platforms

Autonomous Task Execution

Not enough data

7.3(won by default)

5

Multi-step Planning

Not enough data

7.3(won by default)

5

Cross-system Integration

Not enough data

7.5(won by default)

6

Adaptive Learning

Not enough data

8.7(won by default)

5

Natural Language Interaction

Not enough data

8.3(won by default)

5

Proactive Assistance

Not enough data

7.0(won by default)

5

Decision Making

Not enough data

7.7(won by default)

5

Third-Party Integrations

Not enough data

Not enough data

Show 6 feature categories with incomplete data

MLOps Platforms[Hide 22 FeaturesShow 22 Features](javascript:void(0);)

Not enough data

Not enough data

Deployment

Language Flexibility

Not enough data

Not enough data

Framework Flexibility

Not enough data

Not enough data

Versioning

Not enough data

Not enough data

Ease of Deployment

Not enough data

Not enough data

Scalability

Not enough data

Not enough data

Deployment

Language Flexibility

Not enough data

Not enough data

Framework Flexibility

Not enough data

Not enough data

Versioning

Not enough data

Not enough data

Ease of Deployment

Not enough data

Not enough data

Scalability

Not enough data

Not enough data

Management

Cataloging

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Governing

Not enough data

Not enough data

Model Registry

Not enough data

Not enough data

Operations

Metrics

Not enough data

Not enough data

Infrastructure management

Not enough data

Not enough data

Collaboration

Not enough data

Not enough data

Management

Cataloging

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Governing

Not enough data

Not enough data

Generative AI

AI Text Generation

Not enough data

Not enough data

AI Text Summarization

Not enough data

Not enough data

Generative AI Infrastructure[Hide 14 FeaturesShow 14 Features](javascript:void(0);)

Not enough data

Not enough data

Scalability and Performance - Generative AI Infrastructure

AI High Availability

Not enough data

Not enough data

AI Model Training Scalability

Not enough data

Not enough data

AI Inference Speed

Not enough data

Not enough data

Cost and Efficiency - Generative AI Infrastructure

AI Cost per API Call

Not enough data

Not enough data

AI Resource Allocation Flexibility

Not enough data

Not enough data

AI Energy Efficiency

Not enough data

Not enough data

Integration and Extensibility - Generative AI Infrastructure

AI Multi-cloud Support

Not enough data

Not enough data

AI Data Pipeline Integration

Not enough data

Not enough data

AI API Support and Flexibility

Not enough data

Not enough data

Security and Compliance - Generative AI Infrastructure

AI GDPR and Regulatory Compliance

Not enough data

Not enough data

AI Role-based Access Control

Not enough data

Not enough data

AI Data Encryption

Not enough data

Not enough data

Usability and Support - Generative AI Infrastructure

AI Documentation Quality

Not enough data

Not enough data

AI Community Activity

Not enough data

Not enough data

Large Language Model Operationalization (LLMOps)[Hide 15 FeaturesShow 15 Features](javascript:void(0);)

Not enough data

Not enough data

Prompt Engineering - Large Language Model Operationalization (LLMOps) 

Prompt Optimization Tools

Not enough data

Not enough data

Template Library

Not enough data

Not enough data

Inference Optimization - Large Language Model Operationalization (LLMOps)

Batch Processing Support

Not enough data

Not enough data

Model Garden - Large Language Model Operationalization (LLMOps)

Model Comparison Dashboard

Not enough data

Not enough data

Custom Training - Large Language Model Operationalization (LLMOps)

Fine-Tuning Interface

Not enough data

Not enough data

Application Development - Large Language Model Operationalization (LLMOps) 

SDK & API Integrations

Not enough data

Not enough data

Model Deployment - Large Language Model Operationalization (LLMOps) 

One-Click Deployment

Not enough data

Not enough data

Scalability Management

Not enough data

Not enough data

Guardrails - Large Language Model Operationalization (LLMOps)

Content Moderation Rules

Not enough data

Not enough data

Policy Compliance Checker

Not enough data

Not enough data

Model Monitoring - Large Language Model Operationalization (LLMOps)

Drift Detection Alerts

Not enough data

Not enough data

Real-Time Performance Metrics

Not enough data

Not enough data

Security - Large Language Model Operationalization (LLMOps)

Data Encryption Tools

Not enough data

Not enough data

Access Control Management

Not enough data

Not enough data

Gateways & Routers - Large Language Model Operationalization (LLMOps)

Request Routing Optimization

Not enough data

Not enough data

Low-Code Machine Learning Platforms[Hide 6 FeaturesShow 6 Features](javascript:void(0);)

Not enough data

Not enough data

Data Ingestion & Preparation - Low-Code Machine Learning Platforms

Automatic Data Profiling & Quality Assessment

Not enough data

Not enough data

Multi‑Source Connector Support

Not enough data

Not enough data

Schema Drift / Change Detection

Not enough data

Not enough data

Model Construction & Automation - Low-Code Machine Learning Platforms

Guided Algorithm & Hyperparameter Recommendation

Not enough data

Not enough data

Code Extensibility

Not enough data

Not enough data

Automated Feature Engineering

Not enough data

Not enough data

Artificial Intelligence[Hide 37 FeaturesShow 37 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

Tagging

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Speech Recognition

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Virtual Personal Assistant (VPA)

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Customer Segmentation

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

For eCommerce

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

Customizable Branding

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Document Management

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Machine Learning

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Alerts/Escalation

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Mobile App

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Sales Teams/Organizations

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Chatbot

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

Generative AI[Hide 22 FeaturesShow 22 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

Code Generation

Not enough data

Not enough data

Text to Image

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

API

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Virtual Characters and Avatars

Not enough data

Not enough data

Content Generation

Not enough data

Not enough data

Personalization and Recommendation

Not enough data

Not enough data

Conditional Generation

Not enough data

Not enough data

Transformer Model

Not enough data

Not enough data

Automated Image & Video Editing

Not enough data

Not enough data

Interactive and Co-Creative Systems

Not enough data

Not enough data

Text Summarization

Not enough data

Not enough data

Data Augmentation

Not enough data

Not enough data

Variation Autoencoder Models

Not enough data

Not enough data

Adversarial Training

Not enough data

Not enough data

Transfer Learning and Fine-tuning

Not enough data

Not enough data

Simulation and Scenario Generation

Not enough data

Not enough data

Creative Design

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Prompt Engineering

Not enough data

Not enough data

Foundation Model

Not enough data

Not enough data

## Azure Machine Learning Studio vs TensorFlow FAQs

Generated using AI

Last updated: August 14, 2026

### What is the difference between TensorFlow vs Azure Machine Learning Studio?

TensorFlow stands out for its higher G2 rating and reviewer-cited strengths in model variety and scalability, while Azure Machine Learning Studio is favored for ease of use and enterprise operationalization.

| [TensorFlow](https://www.g2.com/products/tensorflow/reviews) | [Azure Machine Learning Studio](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) |
| --- | --- |
| 4.5/5 (138 reviews) | 4.3/5 (90 reviews) |
| Small-Business | Enterprise |
| 8.3 | 8.3 |
| 8.7 | 8.6 |
| Model Variety (18 all-time mentions) | Ease of Use (3 all-time mentions) |

### How do the pricing models of TensorFlow and Azure Machine Learning Studio compare?

Reviewers rate TensorFlow higher on value, with a stronger satisfaction score for price and cost-related dimensions.

- **TensorFlow:** Reviewers highlight its free and open-source nature, with several noting that it saves time and reduces costs for machine learning projects.
- **Azure Machine Learning Studio:** Recent reviews mention cost efficiency for enterprise use but also note that pricing can be complex and sometimes higher than expected for larger workloads.
- **Switching reasons:** Reviewers cite moving to TensorFlow for its open-source flexibility and to Azure Machine Learning Studio for integrated enterprise features despite cost considerations.

### What are the best alternatives to TensorFlow and Azure Machine Learning Studio?

The top three alternatives to TensorFlow and Azure Machine Learning Studio are Gemini Enterprise Agent Platform, MATLAB, and Dataiku.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [TensorFlow](https://www.g2.com/products/tensorflow/reviews) | 4.5/5 (138 reviews) | Small-Business | Free and open-source, strong value sentiment | Model Variety (18 all-time mentions) |
| [Azure Machine Learning Studio](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) | 4.3/5 (90 reviews) | Enterprise | Cost-efficient for enterprise, but complex pricing | Ease of Use (3 all-time mentions) |
| [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) | 4.3/5 (744 reviews) | Small-Business | — | — |
| [MATLAB](https://www.g2.com/products/matlab/reviews) | 4.5/5 (771 reviews) | Small-Business | — | — |
| [Dataiku](https://www.g2.com/products/dataiku/reviews) | 4.4/5 (224 reviews) | Enterprise | — | — |

### Which Data Science and Machine Learning Platforms features should I prioritize when comparing TensorFlow and Azure Machine Learning Studio?

Buyers should prioritize Model Training, Ease of Use, Integration Capabilities, Scalability, and Customer Support when comparing TensorFlow and Azure Machine Learning Studio.

- **Model Training:** TensorFlow (18 all-time mentions for model variety), Azure Machine Learning Studio (frequent recent praise for ease of training and deployment).
- **Ease of Use:** TensorFlow (Ease of Use score: 8.0, 19 all-time mentions), Azure Machine Learning Studio (Ease of Use score: 8.5, 3 all-time mentions).
- **Integration Capabilities:** TensorFlow (Keras: 34 all-time mentions, Python: 20 all-time mentions), Azure Machine Learning Studio (recent reviews cite Azure ecosystem integration).
- **Scalability:** TensorFlow (13 all-time mentions), Azure Machine Learning Studio (recent reviews highlight enterprise scalability).
- **Customer Support:** TensorFlow (13 all-time mentions), Azure Machine Learning Studio (2 all-time mentions).

### What are the pros and cons of TensorFlow vs Azure Machine Learning Studio?

TensorFlow's headline strength is model variety and scalability, while Azure Machine Learning Studio is praised for ease of use and enterprise integration.

- **TensorFlow strengths:** Model Variety (18 all-time mentions), Scalability (13), Flexibility (12), AI Integration (19), Ease of Use (19), Easy Integrations (13), Free Services (5), Customer Support (13).
- **TensorFlow trade-offs:** Steep Learning Curve (24), Complexity (8), Difficult Learning (8), Slow Performance (6), Error Handling (5), Software Bugs (5).
- **Azure Machine Learning Studio strengths:** Ease of Use (3), Features (3), Customer Support (2), Data Management (2), Efficiency (2), Implementation Ease (2), Enterprise operationalization (recent reviews).
- **Azure Machine Learning Studio trade-offs:** Learning Curve (3), Difficult Navigation (2), UX Improvement (2), Complex Interface (1), Difficult Learning (1).

### Is TensorFlow or Azure Machine Learning Studio better for small businesses?

TensorFlow is the better fit for small businesses, supported by its largest segment and reviewer sentiment.

- **TensorFlow:** Largest segment is Small-Business, with reviewers highlighting its open-source accessibility and cost-effectiveness for smaller teams.
- **Azure Machine Learning Studio:** Largest segment is Enterprise, with reviewers noting its strengths in enterprise integration and operationalization, but less focus on small-business needs.

### Which Data Science and Machine Learning Platforms platform has better integrations?

TensorFlow is favored for integrations, with significantly more reviewer-cited mentions of key tools.

- **TensorFlow:** Keras (34 all-time mentions), Python (20 all-time mentions), frequent praise for integration with other machine learning libraries and platforms.
- **Azure Machine Learning Studio:** Recent reviews highlight integration with the Azure ecosystem, but with fewer specific third-party integration mentions.

### How do TensorFlow and Azure Machine Learning Studio compare on customer support?

TensorFlow and Azure Machine Learning Studio are rated at parity on Quality of Support, with scores of 8.7 and 8.6 respectively.

- **TensorFlow:** Reviewers frequently cite strong community support and responsive customer service, with 13 all-time mentions for customer support.
- **Azure Machine Learning Studio:** Reviewers note helpful customer support and documentation, with 2 all-time mentions for customer support and positive recent feedback on support experiences.

### Which is easier to implement, TensorFlow or Azure Machine Learning Studio?

TensorFlow and Azure Machine Learning Studio are rated equally on Ease of Setup, both scoring 8.3, with Azure Machine Learning Studio slightly ahead on Ease of Admin (8.3 vs 7.9).

- **TensorFlow:** Reviewers describe setup as straightforward for those with machine learning experience, but note a steep learning curve for beginners and challenges with debugging and configuration.
- **Azure Machine Learning Studio:** Reviewers highlight its user-friendly setup, especially for those familiar with Azure, and praise the drag-and-drop interface for rapid prototyping, though some mention initial complexity for new users.

### Which product has better Model Training?

TensorFlow is more frequently cited for Model Training, with higher mention counts and reviewer emphasis on model variety and training capabilities.

- **TensorFlow:** Model Variety (18 all-time mentions), frequent praise for training deep learning and neural network models, and strong support for rapid prototyping and deployment.
- **Azure Machine Learning Studio:** Reviewers highlight ease of training and deployment, especially for enterprise use, but with fewer all-time mentions for model training compared to TensorFlow.

Reviews

Reviewers' Company Size

[![Azure Machine Learning](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f176b4154a751d10150daa67a57b7dc5/azure-machine-learning-studio.jpg "Azure Machine Learning")](https://www.g2.com/products/microsoft-azure-machine-learning/reviews)

Azure Machine Learning

Small-Business(50 or fewer emp.)

34.5%

Mid-Market(51-1000 emp.)

25.3%

Enterprise(\> 1000 emp.)

40.2%

[![TensorFlow](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d9a7abebb513247473f9558b56431a72/tensorflow.jpg "TensorFlow")](https://www.g2.com/products/tensorflow/reviews)

TensorFlow

Small-Business(50 or fewer emp.)

52.2%

Mid-Market(51-1000 emp.)

25.4%

Enterprise(\> 1000 emp.)

22.4%

Small-Business

(50 or fewer emp.)

34.5%

52.2%

Mid-Market

(51-1000 emp.)

25.3%

25.4%

Enterprise

(\> 1000 emp.)

40.2%

22.4%

Reviewers' Industry

[![Azure Machine Learning](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f176b4154a751d10150daa67a57b7dc5/azure-machine-learning-studio.jpg "Azure Machine Learning")](https://www.g2.com/products/microsoft-azure-machine-learning/reviews)
Azure Machine Learning

Information Technology and Services

29.9%

Computer Software

13.8%

Management Consulting

8.0%

Education Management

5.7%

Higher Education

4.6%

Other

37.9%

[![TensorFlow](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d9a7abebb513247473f9558b56431a72/tensorflow.jpg "TensorFlow")](https://www.g2.com/products/tensorflow/reviews)
TensorFlow

Computer Software

27.6%

Information Technology and Services

20.1%

Research

7.5%

Computer & Network Security

4.5%

Automotive

3.0%

Other

37.3%

Alternatives

**Azure Machine Learning Alternatives**

 ![Gemini Enterprise Agent Platform](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_aeae116c52945fdecd7ed16d621cb315/gemini-enterprise-agent-platform.png "Gemini Enterprise Agent Platform")

[
Gemini Enterprise Agent Platform
](/products/gemini-enterprise-agent-platform/reviews)

 ![Dataiku](https://images.g2crowd.com/uploads/product/hd_favicon/3fe6cc82516a2babaa3dfd8f9dfcc4b3/dataiku.svg "Dataiku")

[
Dataiku
](/products/dataiku/reviews)

 ![Amazon SageMaker](https://images.g2crowd.com/uploads/product/hd_favicon/1528476472/amazon-sagemaker.svg "Amazon SageMaker")

[
Amazon SageMaker
](/products/amazon-sagemaker/reviews)

 ![Altair AI Studio](https://images.g2crowd.com/uploads/product/hd_favicon/501888c80a82c58e3c4f752bbd3902f5/rapidminer-studio.svg "Altair AI Studio")

[
Altair AI Studio
](/products/rapidminer-studio/reviews)

**TensorFlow Alternatives**

 ![MATLAB](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d5738f5e7922b4552c3ba543a2b9dee6/matlab.jpeg "MATLAB")

[
MATLAB
](/products/matlab/reviews)

 ![Gemini Enterprise Agent Platform](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_aeae116c52945fdecd7ed16d621cb315/gemini-enterprise-agent-platform.png "Gemini Enterprise Agent Platform")

[
Gemini Enterprise Agent Platform
](/products/gemini-enterprise-agent-platform/reviews)

 ![IBM Watson Studio](https://images.g2crowd.com/uploads/product/hd_favicon/1535670210/ibm-watson-studio.svg "IBM Watson Studio")

[
IBM Watson Studio
](/products/ibm-watson-studio/reviews)

 ![Anaconda Core](https://images.g2crowd.com/uploads/product/hd_favicon/24271a731a6e1ac5d605e2c4fd9ea6f3/anaconda-core.svg "Anaconda Core")

[
Anaconda Core
](/products/anaconda-core/reviews)

### Spotlight Categories

- [Virtual Event Platforms](https://www.g2.com/categories/virtual-event-platforms)
- [Webinar Platforms](https://www.g2.com/categories/webinar)
- [A/B Testing Tools](https://www.g2.com/categories/a-b-testing-tools)
- [Identity and Access Management (IAM) Software](https://www.g2.com/categories/identity-and-access-management-iam)