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Compare Google Cloud BigQuery and IBM SPSS Statistics 
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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (43.1% of reviews)
Entry-Level Pricing
Free
Starting at $99.00 1 User Per Month
Google Cloud BigQuery
Star Rating
(1,202)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 Statistics
Star Rating
(919)4.2 out of 5
Market Segments
Enterprise (43.1% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $99.00 1 User Per Month
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM SPSS Statistics excels in its analysis capabilities, scoring 8.9, which is highly regarded for its robust statistical tests and procedures. In contrast, Google Cloud BigQuery also shines in this area with a score of 9.2, particularly noted for its ability to handle large datasets efficiently and perform complex queries quickly.
- Reviewers mention that Google Cloud BigQuery offers superior ease of use with a score of 8.7, making it more accessible for users who may not have extensive technical backgrounds. In comparison, IBM SPSS Statistics has a lower ease of use score at 7.9, with some users finding its interface less intuitive.
- G2 users highlight that Google Cloud BigQuery's scripting capabilities are impressive, scoring 8.6, which allows for advanced data manipulation and automation. Conversely, IBM SPSS Statistics, with a scripting score of 7.1, is seen as less flexible in this regard, limiting users who require extensive customization.
- Users on G2 report that Google Cloud BigQuery's data visualization features, scoring 8.6, are more advanced and user-friendly, enabling users to create insightful dashboards easily. IBM SPSS Statistics, with a score of 7.0, is perceived as lacking in this area, with users mentioning that its visualization tools are not as modern or versatile.
- Reviewers mention that the quality of support for Google Cloud BigQuery, scoring 8.3, is generally better, with many users appreciating the responsive customer service and extensive documentation. In contrast, IBM SPSS Statistics has a support score of 7.6, with some users expressing frustration over slower response times.
- Users say that IBM SPSS Statistics has a strong reputation in the enterprise market, capturing 43.6% of reviews from this segment, while Google Cloud BigQuery, with 39.6%, is also popular but slightly less so among enterprise users. This indicates that SPSS may be more trusted for traditional statistical analysis in large organizations.
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 Statistics
Base Subscription: Monthly auto-renewal - Buy online
Starting at $99.00
1 User Per Month
Experience the ease of statistical analysis with IBM SPSS Statistics. Try it for free and see for yourself why it's the preferred choice for data analysis.
- Desktop edition available on Windows and Mac
- A variety of statistical procedures such as factor analysis, clustering and linear regression
- Advanced data preparation and bootstrapping capabilities
Free Trial
Google Cloud BigQuery
Free Trial is available
IBM SPSS Statistics
Free Trial is available
Ratings
Meets Requirements
8.8
612
8.5
780
Ease of Use
8.7
626
7.9
784
Ease of Setup
8.8
401
7.9
173
Ease of Admin
8.5
224
7.6
134
Quality of Support
8.4
564
7.6
590
Has the product been a good partner in doing business?
8.7
217
8.0
128
Product Direction (% positive)
9.2
600
6.5
756
Features by Category
Administration
Not enough data
8.4
186
Not enough data
8.7
202
Not enough data
Feature Not Available
Capabilities
Not enough data
7.8
220
Not enough data
8.4
183
Not enough data
8.1
166
Not enough data
8.2
163
Methodology
Not enough data
9.0
202
Not enough data
9.1
215
Not enough data
8.8
187
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
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
7.2
204
9.0
79
Feature Not Available
8.8
79
7.7
208
Data Analysis
9.3
78
8.9
320
9.1
79
Feature Not Available
Decision Making
8.8
80
7.6
245
8.7
78
7.0
298
8.7
80
7.4
266
8.7
78
Feature Not Available
Generative AI
7.5
51
Not enough data
7.8
51
Not enough data
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 Statistics 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 Statistics is categorized as Statistical Analysis
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM SPSS Statistics
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
26.6%
Research
16.5%
Market Research
7.5%
Education Management
7.5%
Hospital & Health Care
6.6%
Other
35.2%
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
Classes?
4 Comments
G2
Dear Diego. That is right. SPSS is a complex software. Firstly, I recoomend you think about what do you need to do with it. For example, it is very differnt...Read more
Is there possibility that IBM SPSS can be incoperated with other plugins.
2 Comments
GT
I know that SPSS has an R integration which can use several routines from R.Read more
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