# BigML vs scikit-learn Comparison

| | BigML | scikit-learn | 
|---|---|---|
| **Star Rating** | 4.7 out of 5 | 4.8 out of 5 | 
| **Total Reviews** | 24 | 60 | 
| **Largest Market Segment** | Small-Business (87.5% of reviews) | Enterprise (40.0% of reviews) | 
| **Entry Level Price** | $30 per month | No pricing available | 

---
## Top Pros & Cons

### BigML

**Not enough data**

### scikit-learn

Pros:
- Ease of Use (1 reviews)
- Machine Learning (1 reviews)

Cons:
- Lagging Issues (1 reviews)
- Limited Customization (1 reviews)

---
## Ratings Comparison
| Rating | BigML | scikit-learn | 
|---|---|---|
  | **Meets Requirements** | 9.2 (24 reviews) | 9.6 (53 reviews) | 
  | **Ease of Use** | 9.0 (24 reviews) | 9.6 (53 reviews) | 
  | **Ease of Setup** | 9.2 (22 reviews) | 9.6 (41 reviews) | 
  | **Ease of Admin** | 9.3 (22 reviews) | 9.4 (39 reviews) | 
  | **Quality of Support** | 9.5 (22 reviews) | 9.4 (49 reviews) | 
  | **Has the product been a good partner in doing business?** | 9.1 (22 reviews) | 9.2 (35 reviews) | 
  | **Product Direction (% positive)** | 9.5 (24 reviews) | 9.3 (53 reviews) | 

---
## Pricing

### BigML

#### Entry-Level Pricing

Plan: STANDARD

Price: $30 per month

Key Features:
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2

[Browse all 3 editions](https://www.g2.com/products/bigml/pricing)

#### Free Trial

No

### scikit-learn

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

---
## Features Comparison By Category

### Data Science and Machine Learning Platforms

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **scikit-learn** | N/A | N/A |

#### System

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Data Ingestion &amp; Wrangling** | Not enough data | Not enough data | 

#### Model Development

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Language Support** | Not enough data | Not enough data | 
| **Drag and Drop** | Not enough data | Not enough data | 
| **Pre-Built Algorithms** | Not enough data | Not enough data | 
| **Model Training** | Not enough data | Not enough data | 

#### Model Development

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Feature Engineering** | Not enough data | Not enough data | 

#### Machine/Deep Learning Services

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Computer Vision** | Not enough data | Not enough data | 
| **Natural Language Processing** | Not enough data | Not enough data | 
| **Natural Language Generation** | Not enough data | Not enough data | 
| **Artificial Neural Networks** | Not enough data | Not enough data | 

#### Machine/Deep Learning Services

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Natural Language Understanding** | Not enough data | Not enough data | 
| **Deep Learning** | Not enough data | Not enough data | 

#### Deployment

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Managed Service** | Not enough data | Not enough data | 
| **Application** | Not enough data | Not enough data | 
| **Scalability** | Not enough data | Not enough data | 

#### Generative AI

| Feature | BigML | scikit-learn | 
|---|---|---|
| **AI Text Generation** | Not enough data | Not enough data | 
| **AI Text Summarization** | Not enough data | Not enough data | 
| **AI Text-to-Image** | Not enough data | Not enough data | 

#### Agentic AI - Data Science and Machine Learning Platforms

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | Not enough data | 
| **Multi-step Planning** | Not enough data | Not enough data | 
| **Cross-system Integration** | Not enough data | Not enough data | 
| **Adaptive Learning** | Not enough data | Not enough data | 
| **Natural Language Interaction** | Not enough data | Not enough data | 
| **Proactive Assistance** | Not enough data | Not enough data | 
| **Decision Making** | Not enough data | Not enough data | 

### Machine Learning

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **scikit-learn** | N/A | N/A |

#### Integration - Machine Learning

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Integration** | Not enough data | Not enough data | 

#### Learning - Machine Learning

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Training Data** | Not enough data | Not enough data | 
| **Actionable Insights** | Not enough data | Not enough data | 
| **Algorithm** | Not enough data | Not enough data | 

### Low-Code Machine Learning Platforms

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **scikit-learn** | N/A | N/A |

#### Data Ingestion &amp; Preparation - Low-Code Machine Learning Platforms

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Automatic Data Profiling &amp; 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 &amp; Automation - Low-Code Machine Learning Platforms

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Guided Algorithm &amp; 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 | 

### Predictive Analytics

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **scikit-learn** | N/A | N/A |

#### Statistical Tool

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Scripting** | Not enough data | Not enough data | 
| **Data Mining** | Not enough data | Not enough data | 
| **Algorithms** | Not enough data | Not enough data | 

#### Data Analysis

| Feature | BigML | scikit-learn | 
|---|---|---|
| **Analysis** | Not enough data | Not enough data | 
| **Data Interaction** | Not enough data | Not enough data | 

#### Decision Making

| Feature | BigML | scikit-learn | 
|---|---|---|
| **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 | 

#### Generative AI

| Feature | BigML | scikit-learn | 
|---|---|---|
| **AI Text Generation** | Not enough data | Not enough data | 
| **AI Text Summarization** | Not enough data | Not enough data | 

---
## Categories

**Unique to BigML (3):** [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics), [ Low-Code Machine Learning Platforms Software](https://www.g2.com/categories/low-code-machine-learning-platforms)

**Unique to scikit-learn (1):** [Machine Learning Software](https://www.g2.com/categories/machine-learning)


---
## Reviewer Demographics

### By Company Size

| Segment | BigML | scikit-learn | 
|---|---|---|
| **Small-Business** | 87.5% | 28.3% | 
| **Mid-Market** | 8.3% | 31.7% | 
| **Enterprise** | 4.2% | 40.0% | 

### By Industry

#### 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%

#### scikit-learn

- **Computer Software:** 35.0%
- **Information Technology and Services:** 16.7%
- **Higher Education:** 11.7%
- **Computer &amp; Network Security:** 6.7%
- **Education Management:** 5.0%
- **Hospital &amp; Health Care:** 5.0%
- **Research:** 3.3%
- **Arts and Crafts:** 1.7%
- **Consumer Electronics:** 1.7%
- **Financial Services:** 1.7%
- **Other:** 11.7%

---
## Alternatives

### Alternatives to BigML

- [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) — 4.6/5 stars (516 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (809 reviews)
- [Dataiku](https://www.g2.com/products/dataiku/reviews) — 4.4/5 stars (198 reviews)
- [Tableau](https://www.g2.com/products/tableau/reviews) — 4.4/5 stars (3652 reviews)
- [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) — 4.3/5 stars (657 reviews)
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) — 4.5/5 stars (1227 reviews)
- [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) — 4.2/5 stars (362 reviews)
- [Domo](https://www.g2.com/products/domo/reviews) — 4.3/5 stars (1005 reviews)
- [MATLAB](https://www.g2.com/products/matlab/reviews) — 4.5/5 stars (770 reviews)
- [Posit](https://www.g2.com/products/posit-posit/reviews) — 4.5/5 stars (570 reviews)

### Alternatives to scikit-learn

- [MLlib](https://www.g2.com/products/mllib/reviews) — 4.1/5 stars (14 reviews)
- [Weka](https://www.g2.com/products/weka/reviews) — 4.3/5 stars (13 reviews)
- [Google Cloud TPU](https://www.g2.com/products/google-cloud-tpu/reviews) — 4.5/5 stars (33 reviews)
- [XGBoost](https://www.g2.com/products/xgboost/reviews) — 4.4/5 stars (13 reviews)
- [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) — 4.3/5 stars (657 reviews)
- [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) — 4.3/5 stars (798 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (809 reviews)
- [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) — 4.3/5 stars (621 reviews)
- [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) — 4.5/5 stars (5561 reviews)
- [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) — 4.4/5 stars (1947 reviews)

---
## Top Discussions

### BigML

No discussions available for this product.

### scikit-learn

- Title: [What is scikit-learn used for?](https://www.g2.com/discussions/scikit-learn-what-is-scikit-learn-used-for) — 2 comments
  > **Top comment:** "Scikit-learn is a powerful library, well-integrated with other Python libraries such as pandas, NumPy, Matplotlib, and Seaborn. It supports creating machine..."
- Title: [What is Python Scikit learn?](https://www.g2.com/discussions/what-is-python-scikit-learn) — 1 comment
  > **Top comment:** "It is a library used to implement machine-learning models. Provides vast range of methods to perform data preprocessing, feature selection, and popularly..."

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/bigml-vs-scikit-learn)

