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Compare Google Cloud BigQuery and Qubole 
At a Glance
Market Segments
Enterprise (39.6% of reviews)
Enterprise (51.1% of reviews)
Entry-Level Pricing
Free
30 day free trial
Google Cloud BigQuery
Star Rating
(1,146)4.5 out of 5
Market Segments
Enterprise (39.6% of reviews)
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansQubole
Star Rating
(259)4.0 out of 5
Market Segments
Enterprise (51.1% of reviews)
Entry-Level Pricing
30 day free trial
Browse all 3 pricing plansSummary
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 9.0, making it easier for teams to prepare and analyze large datasets quickly. In contrast, Qubole, while still effective, has a lower score of 8.4 in this area, indicating it may require more effort for similar tasks.
- Reviewers mention that Google Cloud BigQuery's real-time analytics capabilities are highly rated at 8.8, allowing businesses to make timely decisions based on up-to-date data. Qubole, however, has a score of 8.0, suggesting it may not be as responsive for real-time data needs.
- G2 users highlight that Google Cloud BigQuery's data querying functionality is superior, scoring 9.3, which facilitates complex queries efficiently. Qubole's score of 8.8 indicates it is competent but may not match the performance of BigQuery in this critical area.
- Users on G2 report that Google Cloud BigQuery offers better scalability with a score of 9.3, making it a preferred choice for enterprises expecting rapid growth. Qubole, while still scalable with a score of 9.5, may not provide the same level of seamless expansion as BigQuery.
- Reviewers mention that Google Cloud BigQuery's quality of support is rated at 8.3, which is higher than Qubole's 7.9, indicating that users may find more reliable assistance when issues arise with BigQuery.
- Users say that Google Cloud BigQuery's product direction is highly rated at 9.3, reflecting a strong commitment to innovation and user needs. In contrast, Qubole's score of 7.1 suggests that users may feel less confident about the future development of the platform.
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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
Qubole
Free Trial
30 day free trial
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source. Get started today: https://www.qubole.com/free-trial/
Free Trial
Google Cloud BigQuery
Free Trial is available
Qubole
Free Trial is available
Ratings
Meets Requirements
8.8
565
8.4
211
Ease of Use
8.7
577
7.8
212
Ease of Setup
8.6
337
7.6
60
Ease of Admin
8.5
216
7.6
58
Quality of Support
8.3
519
7.9
177
Has the product been a good partner in doing business?
8.7
210
8.1
61
Product Direction (% positive)
9.2
554
7.1
208
Features by Category
Management
8.3
71
Not enough data
8.1
69
Not enough data
Functionality
8.7
69
Not enough data
8.8
72
Not enough data
8.8
72
Not enough data
8.8
73
Not enough data
9.2
72
Not enough data
System
Not enough data
9.0
7
Not enough data
8.6
6
Not enough data
Not enough data
Model Development
Not enough data
7.9
7
Not enough data
6.7
5
Not enough data
8.0
5
Not enough data
8.1
6
Model Development
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
8.3
5
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.0
5
Deployment
Not enough data
9.0
5
Not enough data
8.3
6
Not enough data
8.8
7
Deployment
Not enough data
8.6
7
Not enough data
8.1
6
Not enough data
9.5
7
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
8.8
147
|
Verified
Not enough data
8.1
140
|
Verified
Not enough data
8.7
144
|
Verified
Not enough data
8.4
140
|
Verified
Not enough data
8.1
129
|
Verified
Not enough data
8.6
131
|
Verified
Not enough data
Integration
8.3
130
|
Verified
Not enough data
8.5
142
|
Verified
Not enough data
8.5
130
|
Verified
Not enough data
Deployment
7.6
118
|
Verified
Not enough data
9.0
141
|
Verified
Not enough data
Performance
9.1
145
|
Verified
Not enough data
Security
8.7
137
|
Verified
Not enough data
9.0
142
|
Verified
Not enough data
Generative AI
7.6
58
Not enough data
7.6
56
Not enough data
Storage
8.8
52
Not enough data
8.5
51
Not enough data
Availability
8.3
45
Not enough data
8.5
48
Not enough data
8.3
50
Not enough data
Performance
8.5
48
Not enough data
Security
8.4
52
Not enough data
8.5
51
Not enough data
8.3
50
Not enough data
8.5
46
Not enough data
Support
8.5
48
Not enough data
8.7
46
Not enough data
Centralized computation
8.3
11
Not enough data
Localized computation
8.1
12
Not enough data
Statistical Tool
8.6
52
Not enough data
9.0
54
Not enough data
8.7
53
Not enough data
Data Analysis
9.2
52
Not enough data
9.1
53
Not enough data
Decision Making
8.8
54
Not enough data
8.6
53
Not enough data
8.6
54
Not enough data
8.6
52
Not enough data
Generative AI
7.5
27
Not enough data
7.5
27
Not enough data
Marketing Operations
8.9
49
Not enough data
9.1
47
Not enough data
9.0
48
Not enough data
9.4
49
Not enough data
9.0
46
Not enough data
8.6
46
Not enough data
Campaign Activity
9.1
51
Not enough data
9.4
50
Not enough data
8.7
47
Not enough data
9.2
45
Not enough data
8.9
47
Not enough data
9.2
48
Not enough data
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.6
134
8.0
64
8.8
132
8.4
83
8.5
126
8.3
79
Integrations
8.0
96
8.6
81
8.3
93
8.6
87
Platform
8.6
109
8.3
72
8.6
124
8.3
82
8.3
93
8.6
87
Processing
9.1
126
8.5
85
8.9
120
8.3
82
Data Transformation
8.8
236
8.0
119
|
Verified
9.3
243
8.8
10
|
Verified
Connectivity
8.0
205
8.8
107
|
Verified
8.1
204
8.6
123
|
Verified
8.7
231
8.3
108
|
Verified
8.7
223
8.5
113
|
Verified
Operations
8.4
233
7.0
104
|
Verified
8.6
230
7.8
116
|
Verified
8.3
209
7.2
75
|
Verified
8.3
216
7.8
69
|
Verified
8.5
207
8.8
11
|
Verified
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 Qubole are categorized as Big Data Integration Platforms, Big Data Processing and Distribution, and Big Data Analytics
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, ETL Tools, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Qubole 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.)
Qubole
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
14.2%
Computer Software
14.0%
Retail
7.6%
Financial Services
6.9%
Marketing and Advertising
5.2%
Other
52.1%
Computer Software
19.4%
Information Technology and Services
14.3%
Marketing and Advertising
12.2%
Internet
6.8%
Leisure, Travel & Tourism
4.2%
Other
43.0%
Most Helpful Reviews
Google Cloud BigQuery
Most Helpful Favorable Review
Verified User in Internet
I used BigQuery to access Google Analytics data. We didn't pay for the storage, but we have to pay per query. Storage is pretty cheap on its own ($0.02/GB), so it's a good alternative to something like Redshift. Keep in mind you'll have to pay separately...
Most Helpful Critical Review
Shubham S.
Verified User in Program Development
I didn't find anything which I can dislike.
Qubole
Most Helpful Favorable Review
Verified User in Media Production
Qubole is a robust tool that makes it easy to query data and create robust data pipelines.
Most Helpful Critical Review
Rajesh M.
Verified User in Information Technology and Services
Bootstrap script Logic is not good. Need something like Databricks library. It is taking more time to boot cluster. Need some other alternative for this with the reduced price. (Lambda)
Verified User in Internet
I used BigQuery to access Google Analytics data. We didn't pay for the storage, but we have to pay per query. Storage is pretty cheap on its own ($0.02/GB), so it's a good alternative to something like Redshift. Keep in mind you'll have to pay separately...
Verified User in Media Production
Qubole is a robust tool that makes it easy to query data and create robust data pipelines.
Shubham S.
Verified User in Program Development
I didn't find anything which I can dislike.
Rajesh M.
Verified User in Information Technology and Services
Bootstrap script Logic is not good. Need something like Databricks library. It is taking more time to boot cluster. Need some other alternative for this with the reduced price. (Lambda)
Alternatives
Discussions
Is Big Query free?
3 comments
BG
NoRead more
Yes, BigQuery is a 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
1.What is the best way to pass external spark packages in Qubole Notebooks?;
2 comments
RR
It give clarity about financial data which help at business level to expansion and cut down cost , to review apex and opex and budgeting prospectiveRead more
To integrate more charts or graphs in Qubole Notebooks using SQL, you can use the built-in visualization tools provided by Qubole. First, execute your SQL query to retrieve the data you want to visualize. Then, use the 'Visualize' option in the notebook to create charts or graphs. You can choose from various chart types such as bar, line, pie, etc., and customize them according to your needs. Ensure your data is structured appropriately for the type of visualization you want to create. Save your visualizations for quick access and sharing.
2 comments
RR
we can create schma by using postman and multiple chart which to help to analysis the data and clarity about the decision making of further processRead more
How do I integrate elastic search with use of qubole in Tableau.
1 comment
MP
Hi Manjul,
Difficult to answer without more details. Reach out to your Customer Success Manager or the Qubole administrators within your organization -...Read more
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