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Compare Google Cloud BigQuery and VMware Greenplum 
Featured Products
At a Glance
Market Segments
Enterprise (37.9% of reviews)
Enterprise (46.3% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,202)4.5 out of 5
Market Segments
Enterprise (37.9% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansVMware Greenplum
Star Rating
(60)4.3 out of 5
Market Segments
Enterprise (46.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about VMware GreenplumSummary
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 looking for a smooth and efficient data processing experience.
- Users say that VMware Greenplum offers impressive performance for large datasets, thanks to its Massive Parallel Processing (MPP) capabilities. Reviewers appreciate how this architecture enhances performance in big tables, making it a strong choice for organizations with substantial data processing needs.
- According to verified reviews, Google Cloud BigQuery stands out for its ease of setup, with many users praising the intuitive onboarding process that simplifies getting started. This is a significant advantage for teams looking to implement a data warehouse quickly and efficiently.
- Reviewers mention that while VMware Greenplum is a powerful database solution, it may not be as user-friendly as BigQuery. Some users have noted challenges in configuration, which can hinder the overall experience for those less familiar with complex database setups.
- G2 reviewers highlight the scalability of Google Cloud BigQuery, with its pay-as-you-go model allowing users to experiment with larger datasets without the need for upfront investment in infrastructure. This flexibility is particularly beneficial for businesses looking to grow their data capabilities over time.
- Users report that both platforms offer solid support, but Google Cloud BigQuery receives higher marks for its overall quality of support. Reviewers appreciate the responsiveness and helpfulness of the support team, which can be crucial for organizations relying on timely assistance for their data operations.
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
VMware Greenplum
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
VMware Greenplum
No trial information availableRatings
Meets Requirements
8.8
614
8.4
44
Ease of Use
8.7
629
8.3
42
Ease of Setup
8.8
404
8.1
22
Ease of Admin
8.5
225
8.2
23
Quality of Support
8.4
566
8.0
38
Has the product been a good partner in doing business?
8.6
218
8.6
22
Product Direction (% positive)
9.2
602
8.3
40
Features by Category
Management
8.6
123
Not enough data
8.3
121
Not enough data
Functionality
9.0
121
Not enough data
9.1
125
Not enough data
9.0
125
Not enough data
8.9
124
Not enough data
9.4
124
Not enough data
Data Management
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
Not enough data
Integration
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Not enough data
Deployment
7.8
190
|
Verified
9.0
5
|
Verified
9.1
216
|
Verified
Not enough data
Performance
9.1
223
|
Verified
8.7
5
|
Verified
Security
8.7
211
|
Verified
9.3
5
|
Verified
9.2
217
|
Verified
9.3
5
|
Verified
Generative AI
7.7
132
Not enough data
7.9
129
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
79
Not enough data
9.0
79
Not enough data
8.8
80
Not enough data
Data Analysis
9.3
79
Not enough data
9.1
80
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
65
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
64
Not enough data
8.5
63
Not enough data
Campaign Activity
9.1
68
Not enough data
9.5
68
Not enough data
8.7
65
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
Not enough data
8.9
176
Not enough data
8.8
170
Not enough data
Integrations
8.4
139
Not enough data
8.6
136
Not enough data
Platform
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Not enough data
Processing
9.3
170
Not enough data
9.1
164
Not enough data
Data Transformation
8.8
288
Not enough data
9.3
296
Not enough data
Connectivity
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Not enough data
Operations
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
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 VMware Greenplum are categorized as Data Warehouse
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, Predictive Analytics, and Data Clean Room
VMware Greenplum has no unique categories
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
VMware Greenplum
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
13.4%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Information Technology and Services
14.8%
Internet
11.1%
Financial Services
7.4%
Computer Software
7.4%
Banking
7.4%
Other
51.9%
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
Does it have the capability to use Metadata agent Query Management?
1 Comment
RG
Yes it has this capability and optimises the queryRead more
VMware Greenplum has no more discussions with answers
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