Compare Databricks and IBM SPSS Modeler 
At a Glance
Market Segments
Enterprise (44.8% of reviews)
Enterprise (55.1% of reviews)
Entry-Level Pricing
No pricing available
Starting at $7,430 USD per user per year
Databricks
Star Rating
(724)4.6 out of 5
Market Segments
Enterprise (44.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksIBM 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 Databricks excels in simplifying the entire data workflow, allowing users to manage data processing, analysis, and machine learning all in one place. The integrated notebook environment is particularly praised for enhancing productivity.
- Users say that IBM SPSS Modeler is a valuable tool for data manipulation, with features that facilitate direct connections to data sources. Reviewers appreciate its capabilities for data cleaning and validation, making it a strong choice for preparing data for BI tools.
- According to verified reviews, Databricks has a significantly higher overall satisfaction score, reflecting its robust feature set, including advanced tools like Unity Catalog, which enhances governance and access control across data assets.
- Reviewers mention that while IBM SPSS Modeler is user-friendly and offers excellent features, it may not match the comprehensive capabilities of Databricks, particularly in terms of scalability and integration with modern data architectures.
- G2 reviewers highlight that Databricks has a strong focus on innovation, with features like Genie and Lakehouse Connect that set it apart from competitors, making it a preferred choice for enterprises looking to modernize their data strategies.
- Users express mixed feelings about IBM SPSS Modeler's pricing, noting that while it offers valuable features, the entry-level cost may be a barrier for smaller organizations compared to Databricks, which provides flexible pricing options that cater to a wider range of users.
Pricing
Entry-Level Pricing
Databricks
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
Free Trial is available
IBM SPSS Modeler
No trial information availableRatings
Meets Requirements
8.9
574
8.3
110
Ease of Use
8.9
585
8.3
111
Ease of Setup
8.7
457
8.2
29
Ease of Admin
8.3
183
8.1
27
Quality of Support
8.7
549
8.0
94
Has the product been a good partner in doing business?
8.9
187
8.3
26
Product Direction (% positive)
9.6
562
7.0
110
Features by Category
Reports
8.3
12
Not enough data
7.7
10
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.1
9
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
88
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
83
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
173
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Not enough data
Operations
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Not enough data
Management
8.8
60
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
7.9
15
Model Development
8.8
182
8.2
12
7.9
187
8.2
13
8.3
186
8.3
14
8.7
190
8.5
14
Model Development
8.5
172
7.1
16
Machine/Deep Learning Services
8.2
174
7.3
11
8.5
180
7.5
12
8.3
172
6.9
12
8.2
172
8.1
13
Machine/Deep Learning Services
8.4
158
6.4
12
8.4
160
6.7
13
Deployment
8.5
178
7.4
13
8.7
180
8.6
12
9.0
187
7.6
15
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
177
|
Verified
Not enough data
Security
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Management
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
Maintenance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
9.0
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
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 and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
7.5
58
Not enough data
8.3
49
Not enough data
8.0
61
Data Analysis
Not enough data
8.3
69
Not enough data
8.4
68
Decision Making
Not enough data
8.4
71
Not enough data
7.5
68
Not enough data
7.8
64
Not enough data
Feature Not Available
Generative AI
Not enough data
7.3
5
Not enough data
7.3
5
Database
8.7
237
Not enough data
8.9
243
Not enough data
9.3
257
Not enough data
Integrations
8.3
220
Not enough data
9.1
258
Not enough data
Platform
9.0
250
Not enough data
8.8
248
Not enough data
9.1
258
Not enough data
Processing
9.0
243
Not enough data
9.0
246
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
232
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
230
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
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 and IBM SPSS Modeler are categorized as Data Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Databricks
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
15.7%
Financial Services
10.5%
Computer Software
8.6%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Higher Education
15.6%
Education Management
11.7%
Research
7.8%
Banking
6.3%
Computer Software
4.7%
Other
53.9%
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?
4 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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