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Compare Google Cloud BigQuery and Posit 
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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (48.6% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,201)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 plansPosit
Star Rating
(562)4.5 out of 5
Market Segments
Enterprise (48.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about PositSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data ingestion and wrangling with a score of 9.1, making it a preferred choice for handling large datasets efficiently. In contrast, Posit, while still competent, scores slightly lower in this area, indicating that users may find BigQuery more robust for complex data operations.
- Reviewers mention that Google Cloud BigQuery's data compression capabilities, rated at 8.3, allow for efficient storage management, which is crucial for enterprises dealing with vast amounts of data. Posit, however, has received feedback indicating that its data compression features could be improved, as it also scores 8.3 but lacks the same level of user satisfaction.
- G2 users highlight that BigQuery's real-time analytics feature, rated at 8.8, provides a significant advantage for businesses needing immediate insights. Users on G2 have noted that Posit, while offering real-time capabilities, does not match the performance and responsiveness of BigQuery in this regard.
- Reviewers mention that Posit shines in model training, scoring 9.1, which is particularly beneficial for users focused on machine learning applications. In comparison, BigQuery's model training capabilities, rated at 8.3, may not meet the same level of user expectations for those specifically looking for advanced machine learning features.
- Users say that Google Cloud BigQuery's data querying functionality is exceptional, with a score of 9.3, allowing for complex queries to be executed quickly and efficiently. Posit, while still effective, scores lower in this area, suggesting that users may experience slower performance when handling intricate queries.
- Reviewers mention that both platforms offer strong data visualization tools, but Google Cloud BigQuery's score of 8.9 indicates a more user-friendly experience compared to Posit's score of 8.5. Users have noted that BigQuery's visualizations are more intuitive and easier to customize, enhancing the overall user experience.
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
Posit
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
Posit
Free Trial is available
Ratings
Meets Requirements
8.8
612
9.1
496
Ease of Use
8.7
626
8.3
496
Ease of Setup
8.8
401
8.8
106
Ease of Admin
8.5
224
8.3
90
Quality of Support
8.4
564
8.1
403
Has the product been a good partner in doing business?
8.7
217
8.5
81
Product Direction (% positive)
9.2
600
8.5
488
Features by Category
Administration
Not enough data
8.7
76
Not enough data
9.2
82
Not enough data
8.2
76
Capabilities
Not enough data
9.0
89
Not enough data
8.9
67
Not enough data
8.9
55
Not enough data
8.8
59
Methodology
Not enough data
9.1
77
Not enough data
9.5
85
Not enough data
9.3
82
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
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
9.1
25
Model Development
Not enough data
8.8
19
Not enough data
7.8
21
Not enough data
8.3
21
Not enough data
9.0
21
Model Development
Not enough data
9.0
20
Machine/Deep Learning Services
Not enough data
8.6
15
Not enough data
8.5
14
Not enough data
8.7
13
Not enough data
7.6
17
Machine/Deep Learning Services
Not enough data
8.6
17
Not enough data
9.1
18
Deployment
Not enough data
8.4
19
Not enough data
8.9
18
Not enough data
8.7
19
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
Not enough data
9.0
79
Not enough data
8.8
79
Not enough data
Data Analysis
9.3
78
Not enough data
9.1
79
Not enough data
Decision Making
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Not enough data
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
9.0
8
8.9
176
9.0
7
8.8
170
8.6
7
Integrations
8.4
139
8.3
5
8.6
136
8.3
6
Platform
8.9
153
7.9
8
8.9
168
8.7
10
8.6
136
8.3
6
Processing
9.3
170
8.3
5
9.1
164
8.1
8
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 Posit are categorized as Big Data Processing and Distribution
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Posit is categorized as Statistical Analysis and 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.)
Posit
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
19.1%
Information Technology and Services
12.6%
Research
11.2%
Computer Software
8.7%
Education Management
5.6%
Other
42.8%
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
Can we save our process if we don't save a project?
2 Comments
SL
There are many ways to save results as an R script runs, take a look at the R saveRDS function as one example.
For questions like this about R a great...Read more
What is the best way to run R code within a VBA routine?
1 Comment
PB
I ran into same kind of problems. Then I discovered PowerBI.
With PowerBI, and the help of PowerQuery, I'm getting rid of all VbA engines to process...Read more
Which software is used for R programming?
1 Comment
SH
RStudio is the most popular IDE for running R programs and has a free license. The official R software environment is an open-source free software...Read more
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