Compare IBM SPSS Modeler and TIMi 
At a Glance
Market Segments
Enterprise (55.1% of reviews)
Small-Business (37.3% of reviews)
Entry-Level Pricing
Starting at $7,430 USD per user per year
Free
IBM 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 plansTIMi
Star Rating
(73)4.8 out of 5
Market Segments
Small-Business (37.3% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansIBM SPSS Modeler vs TIMi
When assessing the two solutions, reviewers found TIMi easier to use, set up, and administer. Reviewers also preferred doing business with TIMi overall.
- Reviewers felt that TIMi meets the needs of their business better than IBM SPSS Modeler.
- When comparing quality of ongoing product support, reviewers felt that TIMi is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of TIMi over IBM SPSS Modeler.
Pricing
Entry-Level Pricing
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
TIMi
Community
Free
The whole TIMi Suite is 100% free for:
- “Startup Companies” (less than 500K€ of revenues), to bootstrap their activities
- Charity Companies, NGO’s, humanitarian companies
- Any consulting company engaged in charity or humanitarian work
Free Trial
IBM SPSS Modeler
No trial information availableTIMi
Free Trial is available
Ratings
Meets Requirements
8.3
110
9.3
55
Ease of Use
8.3
111
9.0
53
Ease of Setup
8.2
29
9.0
24
Ease of Admin
8.1
27
8.4
20
Quality of Support
8.0
94
9.3
53
Has the product been a good partner in doing business?
8.3
26
9.3
21
Product Direction (% positive)
7.0
110
9.5
47
Features by Category
Reports
Not enough data
8.0
18
Not enough data
8.8
23
Not enough data
8.3
21
Not enough data
8.4
16
Not enough data
7.9
19
Data Preparation
Not enough data
9.6
24
Not enough data
Feature Not Available
Data Modeling and Blending
Not enough data
9.3
25
Not enough data
9.3
25
Not enough data
9.4
26
Generative AI
Not enough data
Not enough data
Not enough data
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
Not enough data
9.5
26
Not enough data
9.6
24
Not enough data
9.3
27
Not enough data
9.3
24
Not enough data
8.9
19
Not enough data
Feature Not Available
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Advanced Analytics
Not enough data
9.3
27
Not enough data
8.7
20
Not enough data
9.2
24
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
Not enough data
9.1
23
Not enough data
9.1
22
Not enough data
7.6
14
Not enough data
8.4
19
Data Source Access
Not enough data
9.4
27
Not enough data
9.4
26
Not enough data
8.7
18
Data Interaction
Not enough data
8.8
20
Not enough data
9.2
21
Not enough data
9.4
24
Not enough data
9.4
26
Not enough data
9.3
25
Not enough data
9.4
26
Not enough data
9.0
20
Not enough data
8.9
21
Data Exporting
Not enough data
8.9
23
Not enough data
9.0
24
Not enough data
9.2
24
Generative AI
Not enough data
Not enough data
Administration
Not enough data
9.4
13
Not enough data
9.0
12
Not enough data
8.8
8
Capabilities
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
8.6
7
Not enough data
9.1
9
Methodology
Not enough data
8.0
10
Not enough data
8.6
12
Not enough data
8.2
10
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
7.9
15
9.0
12
Model Development
8.2
12
8.6
12
8.2
13
9.1
13
8.3
14
9.2
13
8.5
14
9.5
14
Model Development
7.1
16
8.9
12
Machine/Deep Learning Services
7.3
11
Feature Not Available
7.5
12
8.7
10
6.9
12
Not enough data
8.1
13
9.1
9
Machine/Deep Learning Services
6.4
12
9.0
7
6.7
13
9.3
7
Deployment
7.4
13
8.8
10
8.6
12
8.9
11
7.6
15
9.5
14
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Statistical Tool
7.5
58
9.1
17
8.3
49
9.3
18
8.0
61
9.4
18
Data Analysis
8.3
69
9.3
19
8.4
68
9.2
19
Decision Making
8.4
71
9.0
19
7.5
68
8.4
18
7.8
64
8.4
18
Feature Not Available
9.0
20
Generative AI
7.3
5
Not enough data
7.3
5
Not enough data
Database
Not enough data
9.3
14
Not enough data
8.7
15
Not enough data
9.0
13
Integrations
Not enough data
8.0
9
Not enough data
Feature Not Available
Platform
Not enough data
8.8
14
Not enough data
9.5
14
Not enough data
Feature Not Available
Processing
Not enough data
7.7
11
Not enough data
9.2
12
Building Reports
Not enough data
9.1
23
Not enough data
9.1
22
Not enough data
7.6
14
Not enough data
8.4
19
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
IBM SPSS Modeler and TIMi are categorized as Predictive Analytics and Data Science and Machine Learning Platforms
Unique Categories
IBM SPSS Modeler has no unique categories
TIMi is categorized as Data Preparation, Analytics Platforms, Big Data Processing and Distribution, and Statistical Analysis
Reviews
Reviewers' Company Size
IBM SPSS Modeler
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
TIMi
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
Higher Education
15.6%
Education Management
11.7%
Research
7.8%
Banking
6.3%
Computer Software
4.7%
Other
53.9%
Information Technology and Services
12.1%
Financial Services
9.1%
Banking
7.6%
Oil & Energy
7.6%
Education Management
6.1%
Other
57.6%
Discussions
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
the processes developed can be automated in the background minimizing the use of resources?
2 Comments
LM
Yes. Definitely. You can launch it through command line, either in Windows or Linux (using Wine. Works perfectly fine)Read more
Do you think timi should start exploring artificial intelligence?
1 Comment
DS
Hola Carmen, thanks for the question! it really depends how you define AI: we have been pioneering AI since 2007 with the release of Timi Modeler, the very...Read more
What is TIMi Suite used for?
1 Comment
DS
TIMi is used for 3 main purpose:
- simplify Data Intetration: with native connection to most data sources, our ETL tool makes it easy to join, aggregate,...Read more
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