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# BigML vs Google Cloud AutoML Comparison - What are their main differences?

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BigMLGoogle Cloud AutoML[+ Add Product](#)

Reviews

**BigML** [

4.7/5(24)

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

**Google Cloud AutoML** [

4.3/5(51)

](https://www.g2.com/products/google-cloud-automl/reviews#reviews)

Pricing

**BigML**
 **$30** per month · STANDARD

**Google Cloud AutoML**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**BigML**
2 monthsFaster

Based on 20 responses

**Google Cloud AutoML**
5 months

Based on 6 responses

Return on Investment

**BigML**
4 months5 months sooner

Based on 20 responses

**Google Cloud AutoML**
9 months

Based on 7 responses

Perceived Cost

**BigML**
$$$$$

**Google Cloud AutoML**
Not enough reviews yet

Average Discount

**BigML**
5%

**Google Cloud AutoML**
15%10% more

 ![BigML](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_9b8edf3ecccd2af2fa65bec1b033698c/bigml.png "BigML")

 ![Google Cloud AutoML](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_5ce1baadf28da9a4ff7dfef94752a5f9/google-cloud-automl.jpg "Google Cloud AutoML")

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Pros & Cons

**BigML**
Not enough data

**Google Cloud AutoML**
[
AI Integration (1)
](https://www.g2.com/products/google-cloud-automl/reviews?filters%5Bsentiment_snippet%5D=2274773&qs=pros-and-cons#reviews)[
Ease of Use (1)
](https://www.g2.com/products/google-cloud-automl/reviews?filters%5Bsentiment_snippet%5D=2274812&qs=pros-and-cons#reviews)[
Cost (1)
](https://www.g2.com/products/google-cloud-automl/reviews?filters%5Bsentiment_snippet%5D=2274816&qs=pros-and-cons#reviews)[
Expensive (1)
](https://www.g2.com/products/google-cloud-automl/reviews?filters%5Bsentiment_snippet%5D=2274787&qs=pros-and-cons#reviews)

Integrations

**BigML**
Not enough data

**Google Cloud AutoML**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_4a9a6d57cdd833bf0381d21fd9246641/google-workspace.png "Product Avatar Image")

Google Workspace

](https://www.g2.com/products/google-workspace/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_13aba37ae908d9cf29a2452925257ccc/microsoft-sentinel-solutions-for-sap-applications.jpeg "Product Avatar Image")

Microsoft Sentinel...

](https://www.g2.com/products/microsoft-sentinel-solutions-for-sap-applications/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_240340edca859994ec71e4490aa20022/mysql.png "Product Avatar Image")

MySQL

](https://www.g2.com/products/mysql/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_d9d3ff178178a1f790a9d6114e104471/zoho-crm.png "Product Avatar Image")

Zoho

](https://www.g2.com/products/zoho-crm/reviews)[
View all
](https://www.g2.com/products/google-cloud-automl/integrations)

Screenshots

**BigML**
 ![BigML screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/30251/BigML_screenshot1.png)

**Google Cloud AutoML**
No screenshot available

Ratings

Meets Requirements

**BigML**

9.2

9.224

**Google Cloud AutoML**

8.7

8.742

Ease of Use

**BigML**

9.0

9.024

**Google Cloud AutoML**

9.0

9.042

Ease of Setup

**BigML**

9.2

9.222

**Google Cloud AutoML**

8.5

8.539

Ease of Admin

**BigML**

9.3

9.322

**Google Cloud AutoML**

8.4

8.420

Quality of Support

**BigML**

9.5

9.522

**Google Cloud AutoML**

8.2

8.242

Has the product been a good partner in doing business?

**BigML**

9.1

9.122

**Google Cloud AutoML**

8.9

8.919

Product Direction (% positive)

**BigML**

9.5

9.524

**Google Cloud AutoML**

9.7

9.736

Features

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

Not enough data

9.2

29

System

Data Ingestion & Wrangling

Not enough data

7.8(won by default)

9

Real-Time Data

Not enough data

Not enough data

Model Development

Language Support

Not enough data

8.9(won by default)

11

Drag and Drop

Not enough data

9.6(won by default)

9

Pre-Built Algorithms

Not enough data

9.3(won by default)

10

Model Training

Not enough data

9.1(won by default)

16

Multi-Language

Not enough data

8.9(won by default)

6

Database Support

Not enough data

Not enough data

Model Development

Feature Engineering

Not enough data

9.4(won by default)

6

Machine/Deep Learning Services

Computer Vision

Not enough data

9.2(won by default)

10

Natural Language Processing

Not enough data

9.0(won by default)

10

Natural Language Generation

Not enough data

9.2(won by default)

8

Artificial Neural Networks

Not enough data

9.3(won by default)

7

Machine/Deep Learning Services

Natural Language Understanding

Not enough data

9.4(won by default)

9

Deep Learning

Not enough data

9.2(won by default)

8

Deployment

Managed Service

Not enough data

9.8(won by default)

15

Application

Not enough data

9.7(won by default)

10

Scalability

Not enough data

9.2(won by default)

12

Additional Functionality

Activity Dashboard

Not enough data

9.7(won by default)

5

API

Not enough data

9.7(won by default)

6

No-Code

Not enough data

9.5(won by default)

11

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

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

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

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

Not enough data

9.3(won by default)

7

AI Text Summarization

Not enough data

9.4(won by default)

6

AI Text-to-Image

Not enough data

8.7(won by default)

5

Generative AI

Not enough data

Not enough data

Agentic AI - Data Science and Machine Learning Platforms

Autonomous Task Execution

Not enough data

8.6(won by default)

6

Multi-step Planning

Not enough data

9.0(won by default)

5

Cross-system Integration

Not enough data

9.4(won by default)

6

Adaptive Learning

Not enough data

9.3(won by default)

5

Natural Language Interaction

Not enough data

9.0(won by default)

5

Proactive Assistance

Not enough data

8.7(won by default)

5

Decision Making

Not enough data

8.7(won by default)

5

Third-Party Integrations

Not enough data

9.4(won by default)

6

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

Not enough data

9.3

7

Data Ingestion & Preparation - Low-Code Machine Learning Platforms

Automatic Data Profiling & Quality Assessment

Not enough data

9.3(won by default)

5

Multi‑Source Connector Support

Not enough data

9.3(won by default)

5

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

Show 2 feature categories with incomplete 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

Predictive Analytics[Hide 42 FeaturesShow 42 Features](javascript:void(0);)

Not enough data

Not enough data

Statistical Tool

Scripting

Not enough data

Not enough data

Data Mining

Not enough data

Not enough data

Algorithms

Not enough data

Not enough data

Data Analysis

Analysis

Not enough data

Not enough data

Data Interaction

Not enough data

Not enough data

Time Series Analysis

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Decision Making

Modeling

Not enough data

Not enough data

Data Visualizations

Not enough data

Not enough data

Report Generation

Not enough data

Not enough data

Data Unification

Not enough data

Not enough data

Customizable Reports

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

Not enough data

Not enough data

Additional Functionality

Demand Forecasting

Not enough data

Not enough data

AI/Machine Learning

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

For Healthcare

Not enough data

Not enough data

Forecasting

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Decision Support

Not enough data

Not enough data

Modeling & Simulation

Not enough data

Not enough data

Alerts/Notifications

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Retail

Not enough data

Not enough data

For Education

Not enough data

Not enough data

Data Discovery

Not enough data

Not enough data

Graphical Workflow Editor

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Business Rules Management

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Transformation

Not enough data

Not enough data

Data Clustering

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Blending

Not enough data

Not enough data

Data Classification

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![BigML](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_9b8edf3ecccd2af2fa65bec1b033698c/bigml.png "BigML")](https://www.g2.com/products/bigml/reviews)

BigML

Small-Business(50 or fewer emp.)

87.5%

Mid-Market(51-1000 emp.)

8.3%

Enterprise(\> 1000 emp.)

4.2%

[![Google Cloud AutoML](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_5ce1baadf28da9a4ff7dfef94752a5f9/google-cloud-automl.jpg "Google Cloud AutoML")](https://www.g2.com/products/google-cloud-automl/reviews)

Google Cloud AutoML

Small-Business(50 or fewer emp.)

40.0%

Mid-Market(51-1000 emp.)

38.0%

Enterprise(\> 1000 emp.)

22.0%

Small-Business

(50 or fewer emp.)

87.5%

40.0%

Mid-Market

(51-1000 emp.)

8.3%

38.0%

Enterprise

(\> 1000 emp.)

4.2%

22.0%

Reviewers' Industry

[![BigML](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_9b8edf3ecccd2af2fa65bec1b033698c/bigml.png "BigML")](https://www.g2.com/products/bigml/reviews)
BigML

Computer Software

83.3%

Management Consulting

4.2%

International Trade and Development

4.2%

Electrical/Electronic Manufacturing

4.2%

Alternative Dispute Resolution

4.2%

Other

0.0%

[![Google Cloud AutoML](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_5ce1baadf28da9a4ff7dfef94752a5f9/google-cloud-automl.jpg "Google Cloud AutoML")](https://www.g2.com/products/google-cloud-automl/reviews)
Google Cloud AutoML

Information Technology and Services

24.0%

Accounting

6.0%

Computer Software

6.0%

Higher Education

6.0%

Research

6.0%

Other

52.0%

FAQs

## BigML vs Google Cloud AutoML FAQs

Generated using AI

Last updated: August 16, 2026

### What is the difference between BigML vs Google Cloud AutoML?

BigML stands out for higher reviewer satisfaction across all key dimensions compared to Google Cloud AutoML.

| | [BigML](https://www.g2.com/products/bigml/reviews) | [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) |
| --- | --- | --- |
| G2 Rating (reviews) | 4.7/5 (24 reviews) | 4.3/5 (36 reviews) |
| Largest Segment | Small-Business | Mid-Market |
| Ease of Setup score | 9.2 | 8.0 |
| Quality of Support score | 9.5 | 8.2 |
| Top Reviewer-Cited Strength | Dynamic work models and broad ML algorithm support | Automated model training and strong Google Cloud integration |

### How do the pricing models of BigML and Google Cloud AutoML compare?

BigML is rated higher for price satisfaction than Google Cloud AutoML, indicating reviewers consider BigML the stronger value.

- **BigML:** Reviewers note that while BigML is not free, it is considered cost-effective for the features and cloud-based capabilities it provides.
- **Google Cloud AutoML:** In recent reviews, many users cite high costs as a drawback, especially as data and usage scale up, and mention that pricing can be a concern for small businesses.

### What are the best alternatives to BigML and Google Cloud AutoML?

The top 3 alternatives to BigML and Google Cloud AutoML are Azure Machine Learning Studio, Altair AI Studio, and Alteryx.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [BigML](https://www.g2.com/products/bigml/reviews) | 4.7/5 (24 reviews) | Small-Business | Reviewers consider it cost-effective for its features | Dynamic work models and broad ML algorithm support |
| [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) | 4.3/5 (36 reviews) | Mid-Market | Reviewers cite high costs, especially at scale | Automated model training and strong Google Cloud integration |
| [Azure Machine Learning Studio](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) | 4.3/5 (90 reviews) | Enterprise | — | Quick and easy model deployment and prototyping |
| [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) | 4.6/5 (533 reviews) | Small-Business | — | Strong usability and workflow automation |
| [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5 (894 reviews) | Enterprise | — | Comprehensive data preparation and analytics capabilities |

### Which Data Science and Machine Learning Platforms features should I prioritize when comparing BigML and Google Cloud AutoML?

Buyers comparing BigML and Google Cloud AutoML should prioritize Ease of Setup, Quality of Support, Ease of Use, Meets Requirements, and Ease of Admin.

- **Ease of Setup:** BigML scores 9.2, Google Cloud AutoML scores 8.0.
- **Quality of Support:** BigML scores 9.5, Google Cloud AutoML scores 8.2.
- **Ease of Use:** BigML scores 9.0, Google Cloud AutoML scores 8.8.
- **Meets Requirements:** BigML scores 9.2, Google Cloud AutoML scores 8.7.
- **Ease of Admin:** BigML scores 9.3, Google Cloud AutoML scores 8.2.

### What are the pros and cons of BigML vs Google Cloud AutoML?

BigML's headline strength is its high reviewer satisfaction across all key dimensions, while Google Cloud AutoML is praised for its automated model training and Google Cloud integration.

- **BigML strengths:** High satisfaction with dynamic work models, broad ML algorithm support, and ease of use. Reviewers highlight its cloud-based platform, integration with Excel and Tableau, and efficient API-driven workflows.
- **BigML trade-offs:** Reviewers note the lack of offline support and limited perks in the free tier.
- **Google Cloud AutoML strengths:** Automated model training, strong integration with Google Cloud services, and user-friendly interface. Reviewers appreciate its ability to accelerate ML development and reduce manual effort.
- **Google Cloud AutoML trade-offs:** Reviewers frequently cite high costs, especially at scale, and limited advanced customization compared to building models from scratch.

### Is BigML or Google Cloud AutoML better for small businesses?

BigML is the better fit for small businesses, as it is most popular in the Small-Business segment and receives positive sentiment from small-business reviewers.

- **BigML:** Largest segment is Small-Business, with reviewers highlighting ease of use and cost-effectiveness for smaller teams.
- **Google Cloud AutoML:** Largest segment is Mid-Market, and reviewers mention that pricing can be a concern for small businesses.

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

Google Cloud AutoML is favored for integrations, with reviewers highlighting its easy integration with Google Cloud services and other Google apps.

- **BigML:** Reviewers mention integration with Excel and Tableau in recent reviews.
- **Google Cloud AutoML:** Reviewers highlight integration with Google Cloud Storage, BigQuery, and other Google apps, with recent reviews emphasizing smooth connections within the Google ecosystem.

### How do BigML and Google Cloud AutoML compare on customer support?

BigML leads Google Cloud AutoML on Quality of Support by a material margin of 1.3 points (9.5 vs 8.2).

- **BigML:** Reviewers consistently praise responsive customer support, with many noting issues are resolved within a day or two and rating support highly.
- **Google Cloud AutoML:** Reviewers describe support as generally helpful but note slower response times for nuanced questions and less personalized assistance compared to BigML.

### Which is easier to implement, BigML or Google Cloud AutoML?

BigML is easier to implement than Google Cloud AutoML, with a 1.2-point advantage in Ease of Setup (9.2 vs 8.0).

- **BigML:** Reviewers highlight simple setup, easy API-driven workflows, and minimal technical barriers for deployment.
- **Google Cloud AutoML:** Reviewers note that while setup is straightforward for those familiar with Google Cloud, new users may find the initial configuration and advanced options overwhelming.

Alternatives

**BigML Alternatives**

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

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

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

[
Dataiku
](/products/dataiku/reviews)

 ![Alteryx](https://images.g2crowd.com/uploads/product/hd_favicon/5200f776b24b5976b8f7d151d1d2e8fd/alteryx.svg "Alteryx")

[
Alteryx
](/products/alteryx/reviews)

 ![Tableau](https://images.g2crowd.com/uploads/product/hd_favicon/335fbdd506ce66a7f19326fbc586410a/tableau-software-tableau.svg "Tableau")

[
Tableau
](/products/tableau/reviews)

**Google Cloud AutoML Alternatives**

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

[
Azure Machine Learning Studio
](/products/microsoft-azure-machine-learning/reviews)

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

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

 ![DataRobot](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_4392df8f60987b58908bcb30c16818bc/datarobot.jpeg "DataRobot")

[
DataRobot
](/products/datarobot/reviews)

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

[
Dataiku
](/products/dataiku/reviews)