Compare Google Cloud BigQuery and IBM watsonx.data 
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Small-Business (38.1% 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 watsonx.data
Star Rating
(149)4.4 out of 5
Market Segments
Small-Business (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.dataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in query performance, with users highlighting its ability to handle large datasets quickly and efficiently. The platform's built-in SQL query tool and seamless integration with the Google Cloud ecosystem make it a top choice for those needing fast data processing.
- Users say that IBM watsonx.data offers impressive flexibility in handling various workloads, allowing users to run different query engines. This adaptability is particularly beneficial for enterprises that require optimized performance and cost management, as noted by users who appreciate its built-in governance features.
- Reviewers mention that Google Cloud BigQuery's ease of use is a significant advantage, with many praising its intuitive interface and minimal maintenance requirements. Users appreciate that they can focus on data analysis without worrying about server upkeep, which enhances their overall experience.
- According to verified reviews, IBM watsonx.data shines in storage optimization for large and complex datasets. Users have found it effective for data-heavy tasks, particularly in lakehouse-style setups, where it allows for efficient querying while keeping data in object storage.
- G2 reviewers report that Google Cloud BigQuery's scalability is a standout feature, making it suitable for enterprises that anticipate growth. Users have noted that the platform can easily scale to accommodate increasing data volumes without compromising performance.
- Users say that while IBM watsonx.data provides solid data governance capabilities, it sometimes falls short in real-time analytics compared to Google Cloud BigQuery. Reviewers have expressed a desire for improved performance in this area, especially for time-sensitive data processing tasks.
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 watsonx.data
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
IBM watsonx.data
Free Trial is available
Ratings
Meets Requirements
8.8
626
8.8
118
Ease of Use
8.7
642
8.2
132
Ease of Setup
8.7
416
7.9
117
Ease of Admin
8.5
227
7.8
51
Quality of Support
8.3
573
8.5
114
Has the product been a good partner in doing business?
8.6
220
8.7
52
Product Direction (% positive)
9.3
614
9.2
119
Features by Category
Administration
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
8.0
5
Not enough data
7.7
5
Management
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Compliance
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
7.7
5
Not enough data
7.7
5
Security
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Data Quality
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
Maintainence
Not enough data
8.3
5
Not enough data
8.7
5
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
Not enough data
6.0
5
Not enough data
6.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.0
5
Model Development
Not enough data
7.0
5
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
7.7
5
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
6.7
5
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
8.3
6
8.3
210
|
Verified
8.6
6
8.9
215
|
Verified
8.3
6
8.6
219
|
Verified
8.3
6
8.3
204
|
Verified
7.5
6
8.6
201
|
Verified
8.1
6
Integration
8.5
202
|
Verified
8.6
6
8.6
214
|
Verified
8.3
6
8.6
201
|
Verified
8.6
6
Deployment
7.7
186
|
Verified
8.1
6
9.1
223
|
Verified
9.4
6
Performance
9.1
233
|
Verified
8.6
6
Security
8.7
208
|
Verified
9.2
6
9.2
214
|
Verified
9.4
6
Generative AI
7.6
127
8.3
5
7.8
124
8.7
5
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
Data Management
Not enough data
8.2
46
Not enough data
8.5
49
Not enough data
8.5
46
Data as a Service
Not enough data
8.3
46
Not enough data
8.5
47
Architecture
Not enough data
8.3
47
Not enough data
8.5
48
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
8.6
28
8.9
173
8.8
28
8.7
167
8.6
29
Integrations
8.4
136
8.3
28
8.5
133
8.5
28
Platform
8.9
151
8.4
27
8.9
165
8.6
28
8.5
133
8.5
28
Processing
9.2
168
8.8
27
9.1
161
8.9
25
Data Transformation
8.8
283
7.2
9
9.3
293
7.5
10
Connectivity
8.1
251
7.2
9
8.2
249
7.4
9
8.7
278
8.0
9
8.7
269
7.4
9
Operations
8.5
279
7.5
10
8.7
277
8.0
10
8.3
255
8.2
10
8.4
262
6.8
10
8.5
254
7.8
10
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 watsonx.data are categorized as ETL Tools, Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, Marketing Analytics, Predictive Analytics, and Data Clean Room
IBM watsonx.data is categorized as Data as a Service (DaaS), Data Governance, 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.)
IBM watsonx.data
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
19.4%
Computer Software
18.7%
Consulting
6.7%
Financial Services
5.2%
Banking
4.5%
Other
45.5%
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 watsonx.data has no discussions with answers
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