Introducing G2.ai, the future of software buying.Try now
Compare Apache Kudu and Google Cloud BigQuery 
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.
Adcredo
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
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.
Alteryx
Visit Website
At a Glance
Market Segments
Enterprise (58.3% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Apache Kudu
Star Rating
(13)4.1 out of 5
Market Segments
Enterprise (58.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache KuduGoogle 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data integration with a score of 9.0, allowing seamless connections to various data sources, while Apache Kudu's integration capabilities are rated lower, making it less versatile for users needing extensive data source connectivity.
- Reviewers mention that Google Cloud BigQuery's real-time analytics feature is highly effective, scoring 8.8, which enables users to gain insights quickly, whereas Apache Kudu's performance in this area is not as robust, with a lower score, leading to potential delays in data processing.
- G2 users highlight that Google Cloud BigQuery's scalability is a standout feature, scoring 9.3, making it ideal for enterprises with growing data needs, while Apache Kudu, despite being scalable, does not match this level of performance, which could limit its appeal for larger organizations.
- Users on G2 report that Google Cloud BigQuery's quality of support is rated at 8.3, indicating a strong customer service experience, while Apache Kudu's support is rated lower at 7.5, suggesting that users may face challenges when seeking assistance.
- Reviewers mention that Google Cloud BigQuery's data security features, with a score of 9.1, provide robust protection for sensitive information, whereas Apache Kudu's security measures, rated at 6.3, may not offer the same level of assurance, raising concerns for users prioritizing data governance.
- Users say that Google Cloud BigQuery's built-in data analytics capabilities, scoring 8.6, allow for comprehensive analysis without needing additional tools, while Apache Kudu lacks similar built-in features, which could lead to additional costs and complexity for users needing advanced analytics.
Pricing
Entry-Level Pricing
Apache Kudu
No pricing availableGoogle 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
Free Trial
Apache Kudu
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.1
9
8.8
612
Ease of Use
7.8
9
8.7
626
Ease of Setup
8.7
5
8.8
401
Ease of Admin
Not enough data
8.5
224
Quality of Support
7.5
10
8.4
564
Has the product been a good partner in doing business?
8.3
5
8.7
217
Product Direction (% positive)
6.1
9
9.2
600
Features by Category
Management
Not enough data
8.6
123
Not enough data
8.3
121
Functionality
Not enough data
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
Data Management
Not enough data
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Integration
Not enough data
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Deployment
Not enough data
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Performance
Not enough data
9.1
220
|
Verified
Security
Not enough data
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Generative AI
Not enough data
7.7
132
Not enough data
7.9
129
Storage
8.7
5
9.1
70
6.3
5
8.8
70
Availability
4.7
5
8.4
62
6.3
5
8.5
66
7.7
5
8.6
68
Performance
7.3
5
8.5
65
Security
6.3
5
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Support
Not enough data
8.7
66
7.0
5
8.9
66
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
79
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Generative AI
Not enough data
7.5
51
Not enough data
7.8
51
Marketing Operations
Not enough data
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
Campaign Activity
Not enough data
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
Agentic AI - Marketing Analytics
Not enough data
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Database
Not enough data
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Integrations
Not enough data
8.4
139
Not enough data
8.6
136
Platform
Not enough data
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Processing
Not enough data
9.3
170
Not enough data
9.1
164
Data Transformation
Not enough data
8.8
288
Not enough data
9.3
295
Connectivity
Not enough data
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Operations
Not enough data
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
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
Apache Kudu and Google Cloud BigQuery are categorized as Columnar Databases
Unique Categories
Apache Kudu has no unique categories
Google Cloud BigQuery is categorized as Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Apache Kudu
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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
Telecommunications
16.7%
Logistics and Supply Chain
16.7%
Marketing and Advertising
8.3%
Information Technology and Services
8.3%
Hospital & Health Care
8.3%
Other
41.7%
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%
Alternatives
Discussions
Apache Kudu has no discussions with answers
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
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.
