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Compare Databricks Data Intelligence Platform and IBM SPSS Modeler 
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At a Glance
Market Segments
Enterprise (46.1% of reviews)
Enterprise (54.8% of reviews)
Entry-Level Pricing
No pricing available
Starting at $7,430 USD per user per year
Databricks Data Intelligence Platform
Star Rating
(633)4.6 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformIBM SPSS Modeler
Star Rating
(147)4.0 out of 5
Market Segments
Enterprise (54.8% of reviews)
Pros & Cons
Not enough data
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.
- Users report that IBM SPSS Modeler excels in data modeling with a score of 8.0, while Databricks Data Intelligence Platform shines in data ingestion and wrangling, achieving a score of 8.8. Reviewers mention that the intuitive interface of SPSS Modeler makes it easier for users to create complex models without extensive coding knowledge.
- Reviewers mention that Databricks offers superior scalability with a score of 8.9, compared to IBM SPSS Modeler's score of 7.6. Users on G2 highlight that Databricks can handle large datasets efficiently, making it a preferred choice for enterprises with significant data processing needs.
- Users say that the ease of deployment is comparable for both platforms, with IBM SPSS Modeler scoring 8.6 and Databricks also at 8.6. However, reviewers mention that Databricks provides more flexibility in cloud deployment options, which is crucial for organizations looking to leverage cloud infrastructure.
- Reviewers mention that IBM SPSS Modeler has a strong focus on statistical tools, scoring 8.3 in data mining, while Databricks offers robust machine learning services, particularly in natural language processing, with a score of 8.5. Users report that the advanced analytics capabilities of Databricks are particularly beneficial for data scientists.
- G2 users highlight that Databricks excels in collaboration features, scoring 9.2 for notebooks, which allows teams to work together seamlessly on data projects. In contrast, IBM SPSS Modeler, while offering good collaboration tools, does not match the level of integration found in Databricks.
- Users report that IBM SPSS Modeler has a more user-friendly interface for beginners, scoring 8.3 in ease of use, while Databricks, with a score of 8.7, is favored by users who are more technically inclined and require advanced features. Reviewers mention that the learning curve for Databricks can be steeper, but the payoff in functionality is significant.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableIBM 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
Databricks Data Intelligence Platform
Free Trial is available
IBM SPSS Modeler
No trial information availableRatings
Meets Requirements
8.9
517
8.3
109
Ease of Use
8.8
526
8.3
110
Ease of Setup
8.7
399
8.2
28
Ease of Admin
8.3
170
8.1
27
Quality of Support
8.7
492
8.0
93
Has the product been a good partner in doing business?
8.8
173
8.3
26
Product Direction (% positive)
9.6
505
7.0
109
Features by Category
Reports
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
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
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
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
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
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
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
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Not enough data
Administration
8.8
94
Not enough data
8.7
91
Not enough data
9.0
92
Not enough data
8.7
93
Not enough data
Management
8.5
85
Not enough data
8.7
84
Not enough data
8.6
85
Not enough data
8.5
83
Not enough data
8.7
83
Not enough data
Compliance
8.8
92
Not enough data
8.7
91
Not enough data
8.9
90
Not enough data
8.7
90
Not enough data
Security
9.0
82
Not enough data
8.9
83
Not enough data
8.9
83
Not enough data
Data Quality
9.0
92
Not enough data
8.8
91
Not enough data
9.0
89
Not enough data
Maintainence
8.8
82
Not enough data
8.8
81
Not enough data
Generative AI
8.4
80
Not enough data
8.5
79
Not enough data
Agentic AI - Data Governance
8.9
9
Not enough data
9.1
9
Not enough data
9.3
10
Not enough data
8.7
10
Not enough data
9.2
10
Not enough data
9.2
10
Not enough data
Management
8.6
169
Not enough data
8.5
163
Not enough data
Functionality
9.1
170
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Not enough data
Deployment
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
65
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
65
Not enough data
9.0
65
Not enough data
Management
9.0
62
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
62
Not enough data
8.8
60
Not enough data
9.0
62
Not enough data
Management
8.8
60
Not enough data
8.7
60
Not enough data
9.1
59
Not enough data
Generative AI
8.3
27
Not enough data
8.3
27
Not enough data
System
8.8
175
7.7
14
Model Development
8.8
180
8.2
12
8.0
186
8.2
13
8.3
183
8.3
14
8.6
185
8.5
14
Model Development
8.5
171
6.9
15
Machine/Deep Learning Services
8.1
172
7.3
11
8.5
177
7.5
12
8.2
168
6.9
12
8.2
171
8.1
13
Machine/Deep Learning Services
8.4
156
6.4
12
8.4
159
6.7
13
Deployment
8.5
175
7.4
13
8.7
178
8.6
12
9.0
182
7.6
15
Generative AI
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.3
7
Not enough data
8.6
6
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
9.3
7
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
169
|
Verified
Not enough data
Integration
8.8
166
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
154
|
Verified
Not enough data
9.1
175
|
Verified
Not enough data
Performance
9.1
175
|
Verified
Not enough data
Security
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Data Management
9.0
66
Not enough data
8.7
66
Not enough data
8.8
67
Not enough data
9.1
64
Not enough data
Agentic AI - DataOps Platforms
8.8
7
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.3
7
Not enough data
Analytics
8.8
65
Not enough data
8.5
64
Not enough data
Monitoring and Management
8.6
65
Not enough data
8.5
65
Not enough data
Cloud Deployment
9.1
61
Not enough data
9.0
62
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Statistical Tool
Not enough data
7.5
58
Not enough data
8.3
48
Not enough data
8.0
60
Data Analysis
Not enough data
8.3
69
Not enough data
8.4
68
Decision Making
Not enough data
8.4
70
Not enough data
7.5
68
Not enough data
7.8
63
Not enough data
Feature Not Available
Generative AI
Not enough data
7.3
5
Not enough data
7.3
5
Database
8.7
222
Not enough data
8.9
228
Not enough data
9.3
230
Not enough data
Integrations
8.3
211
Not enough data
9.2
232
Not enough data
Platform
9.0
225
Not enough data
8.8
228
Not enough data
9.2
232
Not enough data
Processing
9.0
224
Not enough data
9.0
223
Not enough data
Data Transformation
8.8
220
Not enough data
9.0
227
Not enough data
Connectivity
8.7
203
Not enough data
9.2
226
Not enough data
9.0
218
Not enough data
9.2
226
Not enough data
Operations
8.4
224
Not enough data
8.8
219
Not enough data
8.6
208
Not enough data
8.6
206
Not enough data
9.3
221
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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
Databricks Data Intelligence Platform and IBM SPSS Modeler are categorized as Data Science and Machine Learning Platforms
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, and Analytics Platforms
IBM SPSS Modeler is categorized as Predictive Analytics
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
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
Information Technology and Services
14.6%
Financial Services
11.3%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.4%
Higher Education
15.7%
Education Management
11.8%
Research
7.9%
Banking
5.5%
Information Technology and Services
4.7%
Other
54.3%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
3 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...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
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