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Compare Google Cloud BigQuery and Qubole 
Featured Products
At a Glance
Market Segments
Enterprise (38.0% of reviews)
Enterprise (51.1% of reviews)
Entry-Level Pricing
Free
30 day free trial
Google Cloud BigQuery
Star Rating
(1,215)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
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)
Pros & Cons
Not enough data
Entry-Level Pricing
30 day free trial
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user satisfaction, boasting a significantly higher overall score compared to Qubole. Users appreciate its serverless architecture and the ability to focus on SQL without worrying about infrastructure, making data analysis feel efficient and streamlined.
- According to verified reviews, Google Cloud BigQuery's implementation process is praised for its intuitive onboarding, allowing users to quickly get started without extensive setup. In contrast, Qubole's setup is noted to be more challenging, with some users facing configuration hurdles.
- Users say that Google Cloud BigQuery's performance is outstanding, with the ability to handle billions of queries efficiently. This capability is highlighted by users who mention its pay-as-you-go model, which simplifies operations and encourages experimentation with larger datasets.
- Reviewers mention that Qubole offers a user-friendly interface for managing big data, particularly with its integration with AWS and Hadoop's HDFS. However, it falls short in overall satisfaction compared to BigQuery, which consistently receives higher ratings for ease of use and setup.
- G2 reviewers highlight that Google Cloud BigQuery provides robust support for real-time analytics and data querying, with users noting its high performance in these areas. Qubole, while also capable, does not match the same level of satisfaction in these critical functionalities.
- Users report that Google Cloud BigQuery's quality of support is superior, with many praising the responsiveness and helpfulness of the support team. In contrast, Qubole's support, while decent, does not receive the same level of acclaim, indicating a potential area for improvement.
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
619
8.4
211
Ease of Use
8.7
635
7.8
212
Ease of Setup
8.7
410
7.6
60
Ease of Admin
8.5
226
7.6
58
Quality of Support
8.4
567
7.9
177
Has the product been a good partner in doing business?
8.6
219
8.1
61
Product Direction (% positive)
9.3
608
7.1
208
Features by Category
Management
8.6
121
Not enough data
8.3
119
Not enough data
Functionality
9.0
119
Not enough data
9.1
123
Not enough data
9.0
123
Not enough data
8.9
122
Not enough data
9.3
122
Not enough data
System
Not enough data
9.0
7
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
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
8.0
5
Deployment
Not enough data
9.0
5
Not enough data
8.3
6
Not enough data
8.8
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
8.9
221
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
217
|
Verified
Not enough data
8.3
203
|
Verified
Not enough data
8.7
200
|
Verified
Not enough data
Integration
8.5
202
|
Verified
Not enough data
8.6
213
|
Verified
Not enough data
8.6
200
|
Verified
Not enough data
Deployment
7.7
186
|
Verified
Not enough data
9.1
217
|
Verified
Not enough data
Performance
9.2
226
|
Verified
Not enough data
Security
8.7
207
|
Verified
Not enough data
9.1
213
|
Verified
Not enough data
Generative AI
7.6
127
Not enough data
7.8
124
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
78
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
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Not enough data
Generative AI
7.5
50
Not enough data
7.8
50
Not enough data
Marketing Operations
8.8
65
Not enough data
9.2
64
Not enough data
8.9
64
Not enough data
9.4
65
Not enough data
8.8
63
Not enough data
8.4
62
Not enough data
Campaign Activity
9.1
67
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
61
Not enough data
8.9
62
Not enough data
9.0
64
Not enough data
Agentic AI - Marketing Analytics
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Not enough data
Database
8.8
175
8.0
64
8.9
173
8.4
83
8.7
167
8.3
79
Integrations
8.4
136
8.6
81
8.5
133
8.6
87
Platform
8.9
151
8.3
72
8.9
165
8.3
82
8.5
133
8.6
87
Processing
9.2
168
8.5
85
9.1
161
8.3
82
Data Transformation
8.8
283
8.0
119
|
Verified
9.3
293
8.8
10
|
Verified
Connectivity
8.1
251
8.8
107
|
Verified
8.2
249
8.6
123
|
Verified
8.7
278
8.3
108
|
Verified
8.7
269
8.5
113
|
Verified
Operations
8.5
278
7.0
104
|
Verified
8.7
277
7.8
116
|
Verified
8.3
255
7.2
75
|
Verified
8.4
262
7.8
69
|
Verified
8.5
254
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
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.4%
Marketing and Advertising
5.1%
Other
51.9%
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%
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
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
How do i integrate more charts or graphs in Qubole Notebooks in SQL for quick visualization
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 is Qubole going to survive the Kubernates wave in bigdata processing.
1 Comment
JV
Qubole supports Kubernetes for its control plane—it was announced in April 2019 during the Google Next '19 conference. Please sign up to our newsletter for...Read more
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