Introducing G2.ai, the future of software buying.Try now
Compare Google Cloud BigQuery and IBM watsonx.data 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
ER/Studio
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Astro by Astronomer
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
ILUM
Visit Website
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (36.6% 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 plansIBM watsonx.data
Star Rating
(93)4.3 out of 5
Market Segments
Enterprise (36.6% 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.
- Users report that Google Cloud BigQuery excels in Ease of Use with a score of 8.7, while IBM watsonx.data trails behind at 7.9. Reviewers mention that BigQuery's intuitive interface and seamless integration with other Google services make it a favorite among data analysts.
- Reviewers mention that Google Cloud BigQuery shines in Cloud Processing with a score of 9.2, compared to IBM watsonx.data's 8.8. Users say that BigQuery's ability to handle large datasets efficiently in the cloud is a significant advantage for real-time analytics.
- Users on G2 highlight the Quality of Support for Google Cloud BigQuery, scoring 8.4, while IBM watsonx.data received a score of 8.1. Reviewers mention that BigQuery's support team is responsive and knowledgeable, which enhances the overall user experience.
- G2 users report that Google Cloud BigQuery has a superior Data Preparation feature with a score of 8.8, compared to IBM watsonx.data's 8.5. Users say that BigQuery's built-in tools for data cleaning and transformation simplify the data preparation process significantly.
- Reviewers mention that Google Cloud BigQuery leads in Workload Processing with a score of 9.0, while IBM watsonx.data scores 8.8. Users report that BigQuery's architecture allows for efficient handling of concurrent queries, making it ideal for enterprise-level workloads.
- Users say that Google Cloud BigQuery's Real-Time Data Collection capabilities, scoring 8.7, outshine IBM watsonx.data's 8.6. Reviewers mention that BigQuery's integration with streaming data sources allows for immediate insights, which is crucial for time-sensitive decision-making.
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
612
8.5
70
Ease of Use
8.7
626
8.0
82
Ease of Setup
8.8
401
7.6
75
Ease of Admin
8.5
224
7.6
30
Quality of Support
8.4
564
8.3
65
Has the product been a good partner in doing business?
8.7
217
8.0
29
Product Direction (% positive)
9.2
600
9.2
70
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
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
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
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
Not enough data
Model Development
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
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
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
223
|
Verified
8.3
6
8.3
214
|
Verified
8.6
6
8.9
219
|
Verified
8.3
6
8.6
215
|
Verified
8.3
6
8.3
204
|
Verified
7.5
6
8.7
205
|
Verified
8.1
6
Integration
8.6
204
|
Verified
8.6
6
8.6
216
|
Verified
8.3
6
8.6
204
|
Verified
8.6
6
Deployment
7.8
190
|
Verified
8.1
6
9.1
215
|
Verified
9.4
6
Performance
9.1
220
|
Verified
8.6
6
Security
8.7
211
|
Verified
9.2
6
9.2
217
|
Verified
9.4
6
Generative AI
7.7
132
8.3
5
7.9
129
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
8.3
45
Not enough data
8.5
45
Data as a Service
Not enough data
8.3
45
Not enough data
8.5
45
Architecture
Not enough data
8.2
45
Not enough data
8.4
45
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
8.6
28
8.9
176
8.8
27
8.8
170
8.6
28
Integrations
8.4
139
8.3
28
8.6
136
8.5
27
Platform
8.9
153
8.4
27
8.9
168
8.6
28
8.6
136
8.5
27
Processing
9.3
170
8.8
27
9.1
164
8.9
25
Data Transformation
8.8
288
7.2
9
9.3
295
7.2
9
Connectivity
8.1
256
7.2
9
8.2
254
7.4
9
8.7
283
8.0
9
8.8
274
7.4
9
Operations
8.5
283
7.5
10
8.7
282
8.0
10
8.3
260
8.0
9
8.4
267
6.8
10
8.5
259
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
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Information Technology and Services
24.4%
Computer Software
14.6%
Consulting
8.5%
Financial Services
7.3%
Banking
6.1%
Other
39.0%
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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
