# BigML, Posit vs IBM SPSS Statistics Comparison

| | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Star Rating** | 4.7 out of 5 | 4.5 out of 5 | 4.2 out of 5 | 
| **Total Reviews** | 24 | 570 | 928 | 
| **Largest Market Segment** | Small-Business (87.5% of reviews) | Enterprise (48.5% of reviews) | Enterprise (43.0% of reviews) | 
| **Entry Level Price** | $30 per month | No pricing available | Starting at $1,188.00 1 User Per Year | 

---
## Top Pros & Cons

### BigML

**Not enough data**

### Posit

Pros:
- Ease of Use (13 reviews)
- Features (9 reviews)

Cons:
- Slow Performance (7 reviews)
- Learning Curve (4 reviews)

### IBM SPSS Statistics

Pros:
- Ease of Use (25 reviews)
- Statistical Analysis (17 reviews)

Cons:
- Expensive (13 reviews)
- Learning Curve (9 reviews)

---
## Ratings Comparison
| Rating | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
  | **Meets Requirements** | 9.2 (24 reviews) | 9.1 (501 reviews) | 8.5 (787 reviews) | 
  | **Ease of Use** | 9.0 (24 reviews) | 8.4 (501 reviews) | 7.9 (791 reviews) | 
  | **Ease of Setup** | 9.2 (22 reviews) | 8.8 (111 reviews) | 7.9 (179 reviews) | 
  | **Ease of Admin** | 9.3 (22 reviews) | 8.3 (92 reviews) | 7.6 (134 reviews) | 
  | **Quality of Support** | 9.5 (22 reviews) | 8.1 (407 reviews) | 7.6 (596 reviews) | 
  | **Has the product been a good partner in doing business?** | 9.1 (22 reviews) | 8.6 (83 reviews) | 8.0 (129 reviews) | 
  | **Product Direction (% positive)** | 9.5 (24 reviews) | 8.5 (493 reviews) | 6.5 (763 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

### Posit

#### Entry-Level Pricing

No pricing available

#### Free Trial

Yes

### IBM SPSS Statistics

#### Entry-Level Pricing

Plan: Base Subscription: Yearly auto-renewal - Buy online

Price: Starting at $1,188.00 1 User Per Year

Description: Take advantage of lower costs with flexible models and benefit from continuous functionality through automatic renewal.

Key Features:
- Desktop edition available on Windows and Mac
- A variety of statistical procedures such as factor analysis, clustering and linear regression
- Advanced data preparation and bootstrapping capabilities

[Browse all 4 editions](https://www.g2.com/products/ibm-spss-statistics/pricing)

#### Free Trial

Yes

---
## Features Comparison By Category

### Statistical Analysis

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **Posit** | 9.0/10 | 95 |
| **IBM SPSS Statistics** | 8.5/10 | 251 |

#### Administration

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Quality Control** | Not enough data | 8.7 (77 reviews) | 8.5 (191 reviews) | 
| **Data Sampling** | Not enough data | 9.2 (82 reviews) | 8.7 (205 reviews) | 
| **Collaboration** | Not enough data | 8.3 (79 reviews) | Feature Not Available | 

#### Capabilities

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Data Visualization** | Not enough data | 9.0 (89 reviews) | 7.8 (225 reviews) | 
| **Survival Analysis** | Not enough data | 8.9 (67 reviews) | 8.4 (186 reviews) | 
| **Risk Data Attributes** | Not enough data | 8.9 (55 reviews) | 8.1 (169 reviews) | 
| **Cost Analysis** | Not enough data | 8.8 (59 reviews) | 8.2 (166 reviews) | 

#### Methodology

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **ANOVA Support** | Not enough data | 9.1 (77 reviews) | 9.0 (205 reviews) | 
| **Regression** | Not enough data | 9.5 (86 reviews) | 9.2 (220 reviews) | 
| **Time Series Analysis** | Not enough data | 9.3 (82 reviews) | 8.8 (190 reviews) | 

#### Generative AI

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **AI Text Generation** | Not enough data | Not enough data | Feature Not Available | 
| **AI Text Summarization** | Not enough data | Not enough data | Feature Not Available | 

### Data Science and Machine Learning Platforms

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **Posit** | 8.6/10 | 32 |
| **IBM SPSS Statistics** | N/A | N/A |

#### System

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Data Ingestion & Wrangling** | Not enough data | 9.1 (25 reviews) | Not enough data | 

#### Model Development

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Language Support** | Not enough data | 8.8 (20 reviews) | Not enough data | 
| **Drag and Drop** | Not enough data | 7.8 (21 reviews) | Not enough data | 
| **Pre-Built Algorithms** | Not enough data | 8.3 (22 reviews) | Not enough data | 
| **Model Training** | Not enough data | 9.0 (21 reviews) | Not enough data | 

#### Model Development

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Feature Engineering** | Not enough data | 9.0 (21 reviews) | Not enough data | 

#### Machine/Deep Learning Services

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Computer Vision** | Not enough data | 8.6 (15 reviews) | Not enough data | 
| **Natural Language Processing** | Not enough data | 8.5 (14 reviews) | Not enough data | 
| **Natural Language Generation** | Not enough data | 8.7 (13 reviews) | Not enough data | 
| **Artificial Neural Networks** | Not enough data | 7.6 (17 reviews) | Not enough data | 

#### Machine/Deep Learning Services

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Natural Language Understanding** | Not enough data | 8.6 (17 reviews) | Not enough data | 
| **Deep Learning** | Not enough data | 9.1 (18 reviews) | Not enough data | 

#### Deployment

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Managed Service** | Not enough data | 8.5 (20 reviews) | Not enough data | 
| **Application** | Not enough data | 8.9 (19 reviews) | Not enough data | 
| **Scalability** | Not enough data | 8.8 (20 reviews) | Not enough data | 

#### Generative AI

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **AI Text Generation** | Not enough data | Not enough data | Not enough data | 
| **AI Text Summarization** | Not enough data | Not enough data | Not enough data | 
| **AI Text-to-Image** | Not enough data | Not enough data | Not enough data | 

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

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

### Low-Code Machine Learning Platforms

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **Posit** | N/A | N/A |
| **IBM SPSS Statistics** | N/A | N/A |

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

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Automatic Data Profiling & Quality Assessment** | Not enough data | Not enough data | Not enough data | 
| **Multi‑Source Connector Support** | Not enough data | Not enough data | Not enough data | 
| **Schema Drift / Change Detection** | Not enough data | Not enough data | Not enough data | 

#### Model Construction & Automation - Low-Code Machine Learning Platforms

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Guided Algorithm & Hyperparameter Recommendation** | Not enough data | Not enough data | Not enough data | 
| **Code Extensibility** | Not enough data | Not enough data | Not enough data | 
| **Automated Feature Engineering** | Not enough data | Not enough data | Not enough data | 

### Predictive Analytics

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **Posit** | N/A | N/A |
| **IBM SPSS Statistics** | 8.7/10 | 338 |

#### Statistical Tool

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Scripting** | Not enough data | Not enough data | 7.2 (208 reviews) | 
| **Data Mining** | Not enough data | Not enough data | Feature Not Available | 
| **Algorithms** | Not enough data | Not enough data | 7.7 (211 reviews) | 

#### Data Analysis

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Analysis** | Not enough data | Not enough data | 8.9 (323 reviews) | 
| **Data Interaction** | Not enough data | Not enough data | Feature Not Available | 

#### Decision Making

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Modeling** | Not enough data | Not enough data | 7.7 (248 reviews) | 
| **Data Visualizations** | Not enough data | Not enough data | 7.0 (302 reviews) | 
| **Report Generation** | Not enough data | Not enough data | 7.5 (269 reviews) | 
| **Data Unification** | Not enough data | Not enough data | Feature Not Available | 

#### Generative AI

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **AI Text Generation** | Not enough data | Not enough data | 9.7 (5 reviews) | 
| **AI Text Summarization** | Not enough data | Not enough data | 9.7 (5 reviews) | 

### Big Data Processing and Distribution

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **Posit** | 8.5/10 | 11 |
| **IBM SPSS Statistics** | N/A | N/A |

#### Database

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Real-Time Data Collection** | Not enough data | 9.0 (8 reviews) | Not enough data | 
| **Data Distribution** | Not enough data | 9.0 (7 reviews) | Not enough data | 
| **Data Lake** | Not enough data | 8.6 (7 reviews) | Not enough data | 

#### Integrations

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Hadoop Integration** | Not enough data | 8.3 (5 reviews) | Not enough data | 
| **Spark Integration** | Not enough data | 8.3 (6 reviews) | Not enough data | 

#### Platform

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Machine Scaling** | Not enough data | 7.9 (8 reviews) | Not enough data | 
| **Data Preparation** | Not enough data | 8.7 (10 reviews) | Not enough data | 
| **Spark Integration** | Not enough data | 8.3 (6 reviews) | Not enough data | 

#### Processing

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Cloud Processing** | Not enough data | 8.3 (5 reviews) | Not enough data | 
| **Workload Processing** | Not enough data | 8.1 (8 reviews) | Not enough data | 

### Big Data

| Product | Score | Reviews |
|---|---|---|
| **BigML** | N/A | N/A |
| **Posit** | N/A | N/A |
| **IBM SPSS Statistics** | N/A | N/A |

#### Building Reports

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Data Transformation** | Not enough data | Not enough data | Not enough data | 
| **Data Modeling** | Not enough data | Not enough data | Not enough data | 
| **WYSIWYG Report Design** | Not enough data | Not enough data | Not enough data | 
| **Integration APIs** | Not enough data | Not enough data | Not enough data | 

#### Platform

| Feature | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Mobile User Support** | Not enough data | Not enough data | Not enough data | 
| **Customization ** | Not enough data | Not enough data | Not enough data | 
| **User, Role, and Access Management** | Not enough data | Not enough data | Not enough data | 
| **Internationalization** | Not enough data | Not enough data | Not enough data | 
| **Sandbox / Test Environments** | Not enough data | Not enough data | Not enough data | 
| **Performance and Reliability** | Not enough data | Not enough data | Not enough data | 
| **Breadth of Partner Applications** | Not enough data | 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 Posit (3):** [Statistical Analysis Software](https://www.g2.com/categories/statistical-analysis), [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Unique to IBM SPSS Statistics (2):** [Statistical Analysis Software](https://www.g2.com/categories/statistical-analysis), [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics)


---
## Reviewer Demographics

### By Company Size

| Segment | BigML | Posit | IBM SPSS Statistics | 
|---|---|---|---|
| **Small-Business** | 87.5% | 24.9% | 27.5% | 
| **Mid-Market** | 8.3% | 26.7% | 29.5% | 
| **Enterprise** | 4.2% | 48.5% | 43.0% | 

### 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%

#### Posit

- **Higher Education:** 19.3%
- **Information Technology and Services:** 12.5%
- **Research:** 11.1%
- **Computer Software:** 8.6%
- **Education Management:** 5.5%
- **Hospital & Health Care:** 4.5%
- **Financial Services:** 4.3%
- **Telecommunications:** 2.1%
- **Biotechnology:** 1.8%
- **Banking:** 1.8%
- **Other:** 28.4%

#### IBM SPSS Statistics

- **Higher Education:** 26.4%
- **Research:** 16.4%
- **Education Management:** 7.6%
- **Market Research:** 7.5%
- **Hospital & Health Care:** 6.6%
- **Information Technology and Services:** 4.1%
- **Computer Software:** 1.8%
- **Health, Wellness and Fitness:** 1.6%
- **Banking:** 1.6%
- **Non-Profit Organization Management:** 1.4%
- **Other:** 25.2%

---
## 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 (810 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 (3653 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)
- [Teradata Vantage](https://www.g2.com/products/teradata-teradata-vantage/reviews) — 4.3/5 stars (374 reviews)

### Alternatives to Posit

- [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) — 4.2/5 stars (362 reviews)
- [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) — 4.4/5 stars (83 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (810 reviews)
- [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) — 4.6/5 stars (516 reviews)
- [Minitab Statistical Software](https://www.g2.com/products/minitab-statistical-software/reviews) — 4.6/5 stars (225 reviews)
- [JMP](https://www.g2.com/products/jmp/reviews) — 4.5/5 stars (213 reviews)
- [Stata](https://www.g2.com/products/stata/reviews) — 4.3/5 stars (166 reviews)
- [MATLAB](https://www.g2.com/products/matlab/reviews) — 4.5/5 stars (770 reviews)
- [OriginPro](https://www.g2.com/products/originpro/reviews) — 4.7/5 stars (142 reviews)
- [eviews](https://www.g2.com/products/eviews/reviews) — 4.2/5 stars (124 reviews)

### Alternatives to IBM SPSS Statistics

- [Minitab Statistical Software](https://www.g2.com/products/minitab-statistical-software/reviews) — 4.6/5 stars (225 reviews)
- [JMP](https://www.g2.com/products/jmp/reviews) — 4.5/5 stars (213 reviews)
- [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) — 4.4/5 stars (83 reviews)
- [Qualtrics Strategy & Research](https://www.g2.com/products/qualtrics-strategy-research/reviews) — 4.4/5 stars (3015 reviews)
- [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) — 4.6/5 stars (516 reviews)
- [Stata](https://www.g2.com/products/stata/reviews) — 4.3/5 stars (166 reviews)
- [OriginPro](https://www.g2.com/products/originpro/reviews) — 4.7/5 stars (142 reviews)
- [eviews](https://www.g2.com/products/eviews/reviews) — 4.2/5 stars (124 reviews)
- [Alteryx](https://www.g2.com/products/alteryx/reviews) — 4.6/5 stars (810 reviews)
- [GraphPad Prism](https://www.g2.com/products/graphpad-prism/reviews) — 4.6/5 stars (55 reviews)

---
## Top Discussions

### BigML

No discussions available for this product.

### Posit

- Title: [Can we save our process if we don't save a project?](https://www.g2.com/discussions/32624-can-we-save-our-process-if-we-don-t-save-a-project) — 2 comments, 1 upvote
  > **Top comment:** "There are many ways to save results as an R script runs, take a look at the R saveRDS function as one example.

For questions like this about R a great..."
- Title: [Which software is used for R programming?](https://www.g2.com/discussions/which-software-is-used-for-r-programming) — 1 comment
  > **Top comment:** "RStudio is the most popular IDE for running R programs and has a free license. The official R software environment is an open-source free software..."
- Title: [What is the best way to run R code within a VBA routine?](https://www.g2.com/discussions/what-is-the-best-way-to-run-r-code-within-a-vba-routine) — 1 comment, 1 upvote
  > **Top comment:** "I ran into same kind of problems.  Then I discovered PowerBI.
With PowerBI, and the help of PowerQuery, I'm getting rid of all VbA engines to process..."

### IBM SPSS Statistics

- Title: [Classes?](https://www.g2.com/discussions/16200-classes) — 4 comments, 1 upvote
  > **Top comment:** "Dear Diego. That is right. SPSS is a complex software. Firstly, I recoomend you think about what do you need to do with it. For example, it is very differnt..."
- Title: [What statistical analysis is included in SPSS?](https://www.g2.com/discussions/what-statistical-analysis-is-included-in-spss) — 2 comments
  > **Top comment:** "All kinds of statistical techniques are included in the SPSS. Like descriptive statistic, linear and logistic models, tree based models, etc"
- Title: [SPSS Help Menu](https://www.g2.com/discussions/spss-help-menu) — 2 comments, 2 upvotes
  > **Top comment:** "There should be some case studies to understand SPSS better"
- Title: [Can the developer update the UI?](https://www.g2.com/discussions/41339-can-the-developer-update-the-ui) — 2 comments, 1 upvote
  > **Top comment:** "Yes. Welcome "
- Title: [Support for training](https://www.g2.com/discussions/25294-support-for-training) — 2 comments, 1 upvote
  > **Top comment:** "Yes, definitely. Especially we as a student who use it program are required professional teaching before hand to gain more understanding regarding to this..."

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