# BigML vs DataRobot Comparison

---
## Frequently Asked Questions

### What is the difference between BigML vs DataRobot?

BigML stands out for its higher G2 rating and ease of setup, while DataRobot is recognized for its comprehensive end-to-end AI workflow.

| [BigML](https://www.g2.com/products/bigml/reviews) | [DataRobot](https://www.g2.com/products/datarobot/reviews) |
| --- | --- |
| 4.7/5 (24 reviews) | 4.4/5 (33 reviews) |
| Small-Business | Small-Business |
| 9.2 | 7.3 |
| 9.5 | 8.1 |
| Dynamic work models and easy API-based deployment | Automated end-to-end AI workflow and strong AutoML capabilities |



### How do the pricing models of BigML and DataRobot compare?

BigML is rated higher for value, with reviewers expressing greater satisfaction with its pricing compared to DataRobot.

- **BigML:** Reviewers note that while BigML is not free, it is considered a cost-effective solution for deploying machine learning models, especially compared to open-source alternatives.
- **DataRobot:** In recent reviews, many reviewers describe DataRobot as a premium-priced platform, with licensing costs that can be restrictive for smaller teams or startups.
- **Switching reasons:** Reviewers cite DataRobot's higher cost as a reason for considering alternatives, particularly for small businesses and startups.



### What are the best alternatives to BigML and DataRobot?

The top three alternatives to BigML and DataRobot are Alteryx, Altair AI Studio, and Dataiku.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [BigML](https://www.g2.com/products/bigml/reviews) | 4.7/5 (24) | Small-Business | Reviewers consider it cost-effective for ML deployment | Dynamic work models and easy API-based deployment |
| [DataRobot](https://www.g2.com/products/datarobot/reviews) | 4.4/5 (33) | Small-Business | Premium-priced, restrictive for smaller teams | Automated end-to-end AI workflow and strong AutoML capabilities |
| [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5 (894) | Enterprise | — | — |
| [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) | 4.6/5 (533) | Small-Business | — | — |
| [Dataiku](https://www.g2.com/products/dataiku/reviews) | 4.4/5 (224) | Enterprise | — | — |



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

Buyers should prioritize ease of setup, quality of support, ease of use, meets requirements, and ease of admin when comparing BigML and DataRobot.

- **Ease of Setup:** BigML scores 9.2, DataRobot 7.3.
- **Quality of Support:** BigML scores 9.5, DataRobot 8.1.
- **Ease of Use:** BigML scores 9.0, DataRobot 8.3.
- **Meets Requirements:** BigML scores 9.2, DataRobot 8.9.
- **Ease of Admin:** BigML scores 9.3, DataRobot 7.5.



### What are the pros and cons of BigML vs DataRobot?

BigML's headline strength is its ease of setup and support, while DataRobot excels in automating the end-to-end AI workflow.

- **BigML strengths:** High ease of setup, strong quality of support, dynamic work models, easy API-based deployment, and broad support for ML algorithms and data formats.
- **BigML trade-offs:** Requires an internet connection for all operations, limited perks in the free tier, and lacks offline support.
- **DataRobot strengths:** Comprehensive automated machine learning, end-to-end workflow coverage, strong AutoML and MLOps tools, and intuitive interface for non-experts.
- **DataRobot trade-offs:** Premium pricing, restrictive licensing for small teams, learning curve for advanced features, and interface can feel dense or overwhelming for new users.



### Is BigML or DataRobot better for small businesses?

BigML is the better fit for small businesses, as both its largest reviewer segment and reviewer sentiment highlight its accessibility and value for smaller teams.

- **BigML:** Largest segment is Small-Business; reviewers consistently cite ease of use, cost-effectiveness, and suitability for small teams.
- **DataRobot:** Largest segment is Small-Business; reviewers note that while it is accessible, its premium pricing and licensing structure can be restrictive for smaller organizations.



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

Reviewer sentiment does not favor either BigML or DataRobot for integrations, as no recent reviews cite specific integration strengths for either product.

- **BigML:** No recent reviewer-cited integrations.
- **DataRobot:** No recent reviewer-cited integrations.



### How do BigML and DataRobot compare on customer support?

BigML leads DataRobot on Quality of Support by a material margin of 1.4 points (9.5 vs 8.1).

- **BigML:** Reviewers consistently praise responsive and effective customer support, with many noting issues are resolved within a day or two.
- **DataRobot:** Reviewers describe support as generally positive, though some mention a desire for more documentation and faster response times for complex issues.



### Which is easier to implement, BigML or DataRobot?

BigML is easier to implement than DataRobot, with a 1.9-point advantage in Ease of Setup (9.2 vs 7.3).

- **BigML:** Reviewers highlight simple setup, easy API integration, and quick onboarding, especially for those familiar with machine learning concepts.
- **DataRobot:** Reviewers note that initial setup is straightforward, but the platform's extensive features can create a learning curve, especially for new users or those managing complex projects.



| | BigML | DataRobot | 
|---|---|---|
| **Star Rating** | 4.7 out of 5 | 4.4 out of 5 | 
| **Total Reviews** | 24 | 40 | 
| **Largest Market Segment** | Small-Business (87.5% of reviews) | Small-Business (39.5% of reviews) | 
| **Entry Level Price** | $30 per month | No pricing available | 


---
## Ratings Comparison
| Rating | BigML | DataRobot | 
|---|---|---|
  | **Meets Requirements** | 9.2 (24 reviews) | 8.9 (33 reviews) | 
  | **Ease of Use** | 9.0 (24 reviews) | 8.5 (34 reviews) | 
  | **Ease of Setup** | 9.2 (22 reviews) | 7.8 (22 reviews) | 
  | **Ease of Admin** | 9.3 (22 reviews) | 7.7 (13 reviews) | 
  | **Quality of Support** | 9.5 (22 reviews) | 8.0 (32 reviews) | 
  | **Has the product been a good partner in doing business?** | 9.1 (22 reviews) | 8.5 (13 reviews) | 
  | **Product Direction (% positive)** | 9.5 (24 reviews) | 8.5 (31 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

### DataRobot

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

---
## Features Comparison By Category

### Artificial Intelligence

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **DataRobot** | N/A | N/A |

#### Additional Functionality

| Feature | BigML | DataRobot | 
|---|---|---|
| **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 | 

### Data Science and Machine Learning Platforms

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **DataRobot** | 9.0/10 | 13 |

#### System

| Feature | BigML | DataRobot | 
|---|---|---|
| **Data Ingestion & Wrangling** | Not enough data | Not enough data | 
| **Real-Time Data** | Not enough data | Not enough data | 

#### Model Development

| Feature | BigML | DataRobot | 
|---|---|---|
| **Language Support** | Not enough data | Not enough data | 
| **Drag and Drop** | Not enough data | 9.3 (5 reviews) | 
| **Pre-Built Algorithms** | Not enough data | 9.4 (9 reviews) | 
| **Model Training** | Not enough data | Not enough data | 
| **Database Support** | Not enough data | Not enough data | 
| **Multi-Language** | Not enough data | Not enough data | 

#### Model Development

| Feature | BigML | DataRobot | 
|---|---|---|
| **Feature Engineering** | Not enough data | Not enough data | 

#### Machine/Deep Learning Services

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

#### Deployment

| Feature | BigML | DataRobot | 
|---|---|---|
| **Managed Service** | Not enough data | 8.7 (5 reviews) | 
| **Application** | Not enough data | 8.7 (5 reviews) | 
| **Scalability** | Not enough data | Not enough data | 

#### Additional Functionality

| Feature | BigML | DataRobot | 
|---|---|---|
| **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 | 8.7 (5 reviews) | 
| **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

| Feature | BigML | DataRobot | 
|---|---|---|
| **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 | 
| **Generative AI** | Not enough data | Not enough data | 

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

| Feature | BigML | DataRobot | 
|---|---|---|
| **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 | 
| **Third-Party Integrations** | Not enough data | Not enough data | 

### Low-Code Machine Learning Platforms

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **DataRobot** | N/A | N/A |

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

| Feature | BigML | DataRobot | 
|---|---|---|
| **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

| Feature | BigML | DataRobot | 
|---|---|---|
| **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 | 

### Predictive Analytics

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **DataRobot** | N/A | N/A |

#### Statistical Tool

| Feature | BigML | DataRobot | 
|---|---|---|
| **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 | DataRobot | 
|---|---|---|
| **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

| Feature | BigML | DataRobot | 
|---|---|---|
| **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

| Feature | BigML | DataRobot | 
|---|---|---|
| **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

| Feature | BigML | DataRobot | 
|---|---|---|
| **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 | 

---
## Categories
**Shared Categories (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)




---
## Reviewer Demographics

### By Company Size

| Segment | BigML | DataRobot | 
|---|---|---|
| **Small-Business** | 87.5% | 39.5% | 
| **Mid-Market** | 8.3% | 34.2% | 
| **Enterprise** | 4.2% | 26.3% | 

### 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%

#### DataRobot

- **Computer Software:** 17.1%
- **Financial Services:** 11.4%
- **Information Technology and Services:** 8.6%
- **Accounting:** 5.7%
- **Manufacturing:** 5.7%
- **Telecommunications:** 5.7%
- **Architecture & Planning:** 2.9%
- **Biotechnology:** 2.9%
- **Computer Hardware:** 2.9%
- **Education Management:** 2.9%
- **Other:** 34.3%

---
## Alternatives

### Alternatives to BigML

- [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) — 4.6/5 stars (532 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (894 reviews)
- [Dataiku](https://www.g2.com/products/dataiku/reviews) — 4.4/5 stars (230 reviews)
- [Tableau](https://www.g2.com/products/tableau/reviews) — 4.4/5 stars (4223 reviews)
- [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) — 4.3/5 stars (737 reviews)
- [Domo](https://www.g2.com/products/domo/reviews) — 4.3/5 stars (1091 reviews)
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) — 4.5/5 stars (1223 reviews)
- [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) — 4.2/5 stars (362 reviews)
- [MATLAB](https://www.g2.com/products/matlab/reviews) — 4.5/5 stars (773 reviews)
- [Posit Team](https://www.g2.com/products/posit-team/reviews) — 4.5/5 stars (575 reviews)

### Alternatives to DataRobot

- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (894 reviews)
- [Dataiku](https://www.g2.com/products/dataiku/reviews) — 4.4/5 stars (230 reviews)
- [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) — 4.6/5 stars (532 reviews)
- [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) — 4.3/5 stars (90 reviews)
- [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) — 4.3/5 stars (737 reviews)
- [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) — 4.3/5 stars (57 reviews)
- [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) — 4.3/5 stars (48 reviews)
- [H2O](https://www.g2.com/products/h2o/reviews) — 4.5/5 stars (24 reviews)
- [Qlik Predict](https://www.g2.com/products/qlik-predict/reviews) — 4.4/5 stars (81 reviews)
- [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews) — 4.2/5 stars (170 reviews)

---
## Top Discussions

### BigML

No discussions available for this product.

### DataRobot

- Title: [Can I use external libraries with my algorithms?](https://www.g2.com/discussions/can-i-use-external-libraries-with-my-algorithms) — 1 comment, 1 upvote
  > **Top comment:** "Yes, you can. Algorithmia has complete package management capabilities built in to the platform. "
- Title: [How much does using Algorithmia cost?](https://www.g2.com/discussions/how-much-does-using-algorithmia-cost) — 1 comment, 1 upvote
  > **Top comment:** "You can get started on Algorithmia Teams for as little as $299/month. Go to teams.algorithmia.com and sign up now!"
- Title: [I found a bug in an algorithm or it's not producing the expected results, what can I do?](https://www.g2.com/discussions/i-found-a-bug-in-an-algorithm-or-it-s-not-producing-the-expected-results-what-can-i-do) — 1 comment, 1 upvote
  > **Top comment:** "If you are an Algorithmia Enterprise user, contact your account team for an immediate response. 

For Teams, while you are logged in to the platform, you..."

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