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Compare Google Cloud BigQuery and IBM SPSS Modeler 
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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (54.8% of reviews)
Entry-Level Pricing
Free
Starting at $7,430 USD per user per year
Google Cloud BigQuery
Star Rating
(1,203)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansIBM 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 integration with a score of 9.0, allowing seamless connections to various data sources, while Google Cloud BigQuery also performs well but slightly trails with a score of 8.6. Reviewers mention that SPSS's robust data integration capabilities are particularly beneficial for enterprises needing to consolidate data from multiple platforms.
- Reviewers mention that Google Cloud BigQuery shines in real-time analytics, scoring 8.8, which is crucial for businesses that require immediate insights from their data. In contrast, IBM SPSS Modeler, while strong in data analysis, scores lower in this area, indicating it may not be as effective for real-time data processing needs.
- Users on G2 highlight the ease of use of Google Cloud BigQuery, with a score of 8.7, making it more accessible for teams without extensive technical expertise. In comparison, IBM SPSS Modeler has a slightly lower ease of use score of 8.3, which some reviewers say can lead to a steeper learning curve for new users.
- Reviewers mention that IBM SPSS Modeler offers strong support for statistical tools and data mining, scoring 8.3 and 8.3 respectively, which is ideal for users focused on advanced analytics. Google Cloud BigQuery, however, outperforms in data mining with a score of 9.0, indicating its superior capabilities in handling large datasets for predictive analytics.
- G2 users report that Google Cloud BigQuery's cloud processing capabilities are exceptional, scoring 9.2, which allows for efficient handling of large-scale data workloads. In contrast, IBM SPSS Modeler, while offering on-premise deployment options, scores lower in cloud processing, which may limit scalability for some users.
- Users say that IBM SPSS Modeler provides excellent multi-user access with a score of 9.5, making it a strong choice for collaborative environments. Google Cloud BigQuery also supports multi-user access but scores slightly lower at 8.7, indicating that SPSS may be better suited for teams that require extensive collaboration on data projects.
Pricing
Entry-Level Pricing
Google Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
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
Google Cloud BigQuery
Free Trial is available
IBM SPSS Modeler
No trial information availableRatings
Meets Requirements
8.8
612
8.3
109
Ease of Use
8.7
626
8.3
110
Ease of Setup
8.8
401
8.2
28
Ease of Admin
8.5
224
8.1
27
Quality of Support
8.4
564
8.0
93
Has the product been a good partner in doing business?
8.7
217
8.3
26
Product Direction (% positive)
9.2
600
7.0
109
Features by Category
Management
8.6
123
Not enough data
8.3
121
Not enough data
Functionality
9.0
121
Not enough data
9.1
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
Not enough data
System
Not enough data
7.7
14
Model Development
Not enough data
8.2
12
Not enough data
8.2
13
Not enough data
8.3
14
Not enough data
8.5
14
Model Development
Not enough data
6.9
15
Machine/Deep Learning Services
Not enough data
7.3
11
Not enough data
7.5
12
Not enough data
6.9
12
Not enough data
8.1
13
Machine/Deep Learning Services
Not enough data
6.4
12
Not enough data
6.7
13
Deployment
Not enough data
7.4
13
Not enough data
8.6
12
Not enough data
7.6
15
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
Data Management
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Not enough data
Integration
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Not enough data
Deployment
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Not enough data
Performance
9.1
220
|
Verified
Not enough data
Security
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Not enough data
Generative AI
7.7
132
Not enough data
7.9
129
Not enough data
Storage
9.1
70
Not enough data
8.8
70
Not enough data
Availability
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Not enough data
Performance
8.5
65
Not enough data
Security
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Not enough data
Support
8.7
66
Not enough data
8.9
66
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
78
7.5
58
9.0
79
8.3
48
8.8
79
8.0
60
Data Analysis
9.3
78
8.3
69
9.1
79
8.4
68
Decision Making
8.8
80
8.4
70
8.7
78
7.5
68
8.7
80
7.8
63
8.7
78
Feature Not Available
Generative AI
7.5
51
7.3
5
7.8
51
7.3
5
Marketing Operations
8.8
66
Not enough data
9.2
64
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
63
Not enough data
8.5
63
Not enough data
Campaign Activity
9.1
68
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Not enough data
Agentic AI - Marketing Analytics
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Not enough data
Database
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Not enough data
Integrations
8.4
139
Not enough data
8.6
136
Not enough data
Platform
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Not enough data
Processing
9.3
170
Not enough data
9.1
164
Not enough data
Data Transformation
8.8
288
Not enough data
9.3
295
Not enough data
Connectivity
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Not enough data
Operations
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
Not enough data
Building Reports
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
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
Google Cloud BigQuery and IBM SPSS Modeler are categorized as Predictive Analytics
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Data Warehouse, and Data Clean Room
IBM SPSS Modeler is categorized as Data Science and Machine Learning Platforms
Reviews
Reviewers' Company Size
Google Cloud BigQuery
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
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
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
Is Big Query free?
3 Comments
BG
noRead more
Is BigQuery part of Google Cloud Platform?
2 Comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...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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