Compare Google Cloud BigQuery and IBM Watson Studio 
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (50.9% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,224)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansIBM Watson Studio
Star Rating
(166)4.2 out of 5
Market Segments
Enterprise (50.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson StudioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user experience, highlighting its serverless architecture which allows users to focus on data analysis without worrying about infrastructure. This makes it particularly appealing for those who want a smooth and efficient workflow.
- Users say that IBM Watson Studio is well-organized and supports a variety of data science and machine learning tasks. Its easy integration with existing datasets is frequently praised, making it a solid choice for teams looking to streamline their data processes.
- Reviewers mention that Google Cloud BigQuery's implementation process is quick and intuitive, with many users appreciating the pay-as-you-go model that simplifies operations and encourages experimentation with larger datasets.
- According to verified reviews, IBM Watson Studio provides a powerful platform for low-code/no-code AI development, which is particularly beneficial for users who may not have extensive programming skills. This feature is often highlighted as a major advantage for teams looking to leverage AI capabilities.
- G2 reviewers highlight that Google Cloud BigQuery has a significantly higher overall satisfaction score compared to IBM Watson Studio, with users noting its fast query performance and ability to handle billions of queries efficiently, making it a preferred choice for enterprises.
- Users report that while IBM Watson Studio offers valuable certification and practice notebooks, it faces challenges in areas like ease of setup and administration compared to Google Cloud BigQuery, which is noted for its user-friendly interface and robust support.
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 Watson Studio
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
IBM Watson Studio
No trial information availableRatings
Meets Requirements
8.8
626
8.3
122
Ease of Use
8.7
642
8.0
123
Ease of Setup
8.7
416
7.6
101
Ease of Admin
8.5
227
7.8
95
Quality of Support
8.3
573
8.2
114
Has the product been a good partner in doing business?
8.6
220
8.0
94
Product Direction (% positive)
9.3
614
8.5
116
Features by Category
Data Source Access
Not enough data
9.0
13
Not enough data
9.3
12
Not enough data
9.2
14
Data Interaction
Not enough data
9.0
14
Not enough data
9.2
12
Not enough data
9.4
12
Not enough data
9.1
13
Not enough data
9.2
12
Not enough data
9.2
13
Not enough data
9.1
13
Not enough data
9.6
12
Data Exporting
Not enough data
9.4
12
Not enough data
9.2
12
Not enough data
9.2
12
Generative AI
Not enough data
Not enough data
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
Deployment
Not enough data
8.8
8
Not enough data
9.2
8
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
8.8
8
Deployment
Not enough data
9.0
8
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
9.4
8
Not enough data
9.2
8
Management
Not enough data
9.3
7
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
9.0
8
Operations
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
9.3
7
Management
Not enough data
9.5
7
Not enough data
9.4
8
Not enough data
8.8
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
Not enough data
9.1
13
Model Development
Not enough data
8.6
34
Not enough data
8.9
35
Not enough data
8.5
36
Not enough data
8.4
37
Model Development
Not enough data
9.4
13
Machine/Deep Learning Services
Not enough data
8.6
28
Not enough data
8.5
35
Not enough data
Feature Not Available
Not enough data
8.6
28
Machine/Deep Learning Services
Not enough data
8.9
12
Not enough data
9.0
12
Deployment
Not enough data
8.5
32
Not enough data
8.6
33
Not enough data
8.7
31
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
224
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
219
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.6
201
|
Verified
Not enough data
Integration
8.5
202
|
Verified
Not enough data
8.6
214
|
Verified
Not enough data
8.6
201
|
Verified
Not enough data
Deployment
7.7
186
|
Verified
Not enough data
9.1
223
|
Verified
Not enough data
Performance
9.1
233
|
Verified
Not enough data
Security
8.7
208
|
Verified
Not enough data
9.2
214
|
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
Setup
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
9.7
6
Data
Not enough data
8.6
7
Not enough data
8.6
7
Analysis
Not enough data
9.7
6
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
8.1
7
Not enough data
7.9
7
Customization
Not enough data
9.0
7
Not enough data
8.1
7
Not enough data
9.2
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
78
8.0
14
9.0
78
8.4
15
8.8
79
8.1
15
Data Analysis
9.3
78
8.7
15
9.1
79
9.0
14
Decision Making
8.8
79
8.6
14
8.7
77
8.6
15
8.7
79
8.3
13
8.7
77
8.7
14
Generative AI
7.5
50
9.3
5
7.8
50
8.3
5
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
Not enough data
8.9
173
Not enough data
8.7
167
Not enough data
Integrations
8.4
136
Not enough data
8.5
133
Not enough data
Platform
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Not enough data
Processing
9.2
168
Not enough data
9.1
161
Not enough data
Data Transformation
8.8
283
Not enough data
9.3
293
Not enough data
Connectivity
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Not enough data
Operations
8.5
279
Not enough data
8.7
277
Not enough data
8.3
255
Not enough data
8.4
262
Not enough data
8.5
254
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 Watson Studio 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 Watson Studio is categorized as Text Analysis, Data Science and Machine Learning Platforms, MLOps Platforms, and Data Preparation
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Watson Studio
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
6.5%
Marketing and Advertising
5.2%
Other
51.7%
Information Technology and Services
15.7%
Computer Software
13.2%
Telecommunications
8.2%
Banking
7.5%
Education Management
5.7%
Other
49.7%
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
IBM Watson Studio has no discussions with answers
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