Compare Dataiku and IBM SPSS Modeler 
Featured Products
At a Glance
Market Segments
Enterprise (61.7% of reviews)
Enterprise (55.1% of reviews)
Entry-Level Pricing
Free 3 Users
Starting at $7,430 USD per user per year
Dataiku
Star Rating
(189)4.4 out of 5
Market Segments
Enterprise (61.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansIBM SPSS Modeler
Star Rating
(148)4.0 out of 5
Market Segments
Enterprise (55.1% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $7,430 USD per user per year
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Dataiku excels in user experience, with many praising its graphical user interface that simplifies managing code and datasets visually. This feature is particularly appreciated for making the platform intuitive and soothing to use, which can significantly enhance productivity.
- Users say that IBM SPSS Modeler is highly effective for data cleaning and validation, with one reviewer highlighting its ability to generate quick tabulation reports. This functionality is especially beneficial for users who need to summarize data efficiently, making it a strong choice for those focused on data preparation.
- Reviewers mention that Dataiku's ease of use is a standout feature, allowing for rapid prototyping and MVP development. Users find it simple to plug and play, which accelerates the process of integrating AI into their tech stack, making it ideal for teams looking to innovate quickly.
- According to verified reviews, IBM SPSS Modeler offers robust support for various models and easy integration with other IBM tools like Watson. This capability is particularly valuable for organizations already invested in the IBM ecosystem, as it allows for seamless workflows and enhanced functionality.
- G2 reviewers highlight that Dataiku has a more favorable overall satisfaction score compared to IBM SPSS Modeler, indicating a stronger market presence and user approval. This is reflected in the higher number of recent reviews, suggesting that Dataiku is actively meeting the needs of its users.
- Users report that while IBM SPSS Modeler has a solid feature set, it may not be as user-friendly for those with less coding experience. In contrast, Dataiku's design caters to a broader audience, making it accessible for users at various skill levels, which can be a deciding factor for teams with diverse technical backgrounds.
Pricing
Entry-Level Pricing
Dataiku
Install Dataiku on Your Infrastructure
Free
3 Users
Download Free Edition on Mac, Linux, or virtual machine | Collaborate with up to 3 users | Prepare data and build basic data projects and apps (no deployment, automation, governance)
- Visual Data Prep & AutoML
- Full Code (Python, R) Data Prep & ML
- The LLM Mesh
IBM SPSS Modeler
IBM SPSS Modeler Professional
Starting at $7,430 USD
per user per year
Single-user, desktop application for Windows available for purchase. Other options available through IBM sales. Includes 12 months of technical support.
- Data access and export without data size limits
- Automatic data prep, wrangling, ETL
- 30+ base machine learning algorithms, auto-modeling
Free Trial
Dataiku
Free Trial is available
IBM SPSS Modeler
No trial information availableRatings
Meets Requirements
8.7
171
8.3
110
Ease of Use
8.8
170
8.3
111
Ease of Setup
8.1
132
8.2
29
Ease of Admin
8.0
61
8.1
27
Quality of Support
8.6
156
8.0
94
Has the product been a good partner in doing business?
8.6
61
8.3
26
Product Direction (% positive)
9.0
167
7.0
110
Features by Category
Reports
7.8
76
Not enough data
7.7
75
Not enough data
7.5
76
Not enough data
7.5
74
Not enough data
7.6
76
Not enough data
Data Preparation
8.7
65
Not enough data
8.2
63
Not enough data
Data Modeling and Blending
8.6
62
Not enough data
8.6
62
Not enough data
8.7
62
Not enough data
Generative AI
7.9
50
Not enough data
8.0
50
Not enough data
Agentic AI - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Self Service
8.2
75
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
7.9
74
Not enough data
8.7
74
Not enough data
8.1
74
Not enough data
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
8.4
74
Not enough data
7.8
75
Not enough data
8.0
74
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
Not enough data
Deployment
8.1
15
Not enough data
8.7
15
Not enough data
8.6
15
Not enough data
8.9
15
Not enough data
9.0
15
Not enough data
Deployment
7.8
12
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.8
13
Not enough data
8.8
13
Not enough data
Management
7.6
13
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
7.8
13
Not enough data
Operations
8.5
13
Not enough data
8.3
13
Not enough data
8.8
13
Not enough data
Management
7.5
12
Not enough data
8.5
13
Not enough data
7.9
13
Not enough data
Generative AI
8.3
6
Not enough data
8.3
6
Not enough data
System
8.6
75
7.9
15
Model Development
8.4
78
8.2
12
8.8
77
8.2
13
8.6
78
8.3
14
8.5
77
8.5
14
Model Development
8.5
77
7.1
16
Machine/Deep Learning Services
8.0
74
7.3
11
8.1
74
7.5
12
7.9
73
6.9
12
7.9
72
8.1
13
Machine/Deep Learning Services
7.7
68
6.4
12
7.9
69
6.7
13
Deployment
8.1
74
7.4
13
8.2
77
8.6
12
8.3
76
7.6
15
Generative AI
8.1
60
Not enough data
8.0
60
Not enough data
7.7
59
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
8.1
18
Not enough data
7.6
19
Not enough data
7.5
16
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.0
17
Not enough data
7.3
10
Not enough data
8.1
9
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.5
17
Not enough data
7.7
18
Not enough data
7.5
17
Not enough data
Security and Compliance - Generative AI Infrastructure
7.3
16
Not enough data
7.4
16
Not enough data
7.7
16
Not enough data
Usability and Support - Generative AI Infrastructure
7.3
17
Not enough data
7.1
16
Not enough data
Integration - Machine Learning
8.7
26
Not enough data
Learning - Machine Learning
8.3
27
Not enough data
7.9
28
Not enough data
8.0
28
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
7.5
11
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.3
11
Not enough data
7.9
11
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.1
11
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
11
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
7.6
11
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
7.9
11
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
11
Not enough data
7.7
11
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
6.8
11
Not enough data
6.7
11
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
11
Not enough data
7.4
11
Not enough data
Security - Large Language Model Operationalization (LLMOps)
7.6
11
Not enough data
7.4
11
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.1
11
Not enough data
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization & Analytics - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Compliance Controls - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.2
35
7.5
58
8.5
35
8.3
49
8.0
35
8.0
61
Data Analysis
8.5
37
8.3
69
8.8
37
8.4
68
Decision Making
8.6
35
8.4
71
7.9
36
7.5
68
7.8
35
7.8
64
8.6
36
Feature Not Available
Generative AI
8.6
20
7.3
5
8.3
20
7.3
5
Data Transformation
8.5
44
Not enough data
9.2
39
Not enough data
Connectivity
8.2
38
Not enough data
8.3
40
Not enough data
8.7
41
Not enough data
8.9
44
Not enough data
Operations
8.1
42
Not enough data
9.1
41
Not enough data
8.7
40
Not enough data
8.6
40
Not enough data
8.9
35
Not enough data
Agentic AI - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Dataiku and IBM SPSS Modeler are categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Unique Categories
IBM SPSS Modeler has no unique categories
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM SPSS Modeler
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Financial Services
14.9%
Pharmaceuticals
7.4%
Retail
5.7%
Manufacturing
5.1%
Consulting
5.1%
Other
61.7%
Higher Education
15.6%
Education Management
11.7%
Research
7.8%
Banking
6.3%
Computer Software
4.7%
Other
53.9%
Alternatives
Discussions
Can I securely work on my sensitive data?
2 Comments
PB
Hi,
DSS is on-premise software but we also provide a Amazon image and Docker if desired. You can try DSS on your own computer for free by downloading the...Read more
What data visualization and reporting methods do you support?
2 Comments
Official Response from Dataiku
Dataiku supports a number of tools for engaging stakeholders and team members, including:
- 25 types of interactive charts
- Dashboards that allow you...Read more
Can I test Data Science Studio ?
1 Comment
PB
Hi,
First of all, thanks for your interest. You can try DSS out for free on Dataiku's website (www.dataiku.com/try). You can download the Community Edition...Read more
Where can I find more detailed information on IBM SPSS Modeler's features and capabilities, including a list of algorithms?
1 Comment
MB
Hello!
If you want to know the list of algorithm you can look the official manual here:...Read more
Need training for use SPSS modelar 18.2
1 Comment
RK
Hi, I learned the SPSS Modeler software in a class for my Master's in Learning Analytics a couple of years ago. I also work at the same university. ...Read more
How frequently are you going to release updates
1 Comment
MB
Hello! they release big updates almost every year. Last month they released version 18.2.2 with updates. Also, during the year they release one or two fix...Read more
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
