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Compare Google Cloud BigQuery and Hadoop HDFS 
Featured Products
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (55.0% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,208)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 plansHadoop HDFS
Star Rating
(141)4.4 out of 5
Market Segments
Enterprise (55.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Hadoop HDFSSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user experience, with many praising its serverless architecture that allows users to focus on SQL without worrying about infrastructure. This makes data analysis feel smoother and more efficient compared to Hadoop HDFS, which, while powerful, can present challenges in setup and configuration.
- Users say that Hadoop HDFS is a robust solution for handling large datasets, highlighting its distributed nature and MapReduce model that enable effective business logic execution. However, some users find it less intuitive, especially when it comes to ease of setup and ongoing administration.
- According to verified reviews, Google Cloud BigQuery stands out for its pay-as-you-go model, which simplifies operations and allows for experimentation with larger datasets. This flexibility is a significant advantage over Hadoop HDFS, which may require more upfront investment in infrastructure.
- Reviewers mention that Hadoop HDFS provides a comprehensive set of tools for data management, making it a powerful choice for enterprises that need to process vast amounts of data. However, the lack of recent reviews suggests that it may not be keeping pace with evolving user needs compared to BigQuery, which has received a steady stream of positive feedback.
- Users highlight that Google Cloud BigQuery's speed and efficiency in handling queries is a game-changer, with some noting it can solve billions of queries in one go. This level of performance is often cited as a key differentiator, especially for organizations that prioritize quick data insights.
- G2 reviewers indicate that while Hadoop HDFS is well-regarded for its data distribution capabilities, it may not match the overall satisfaction levels seen with Google Cloud BigQuery, which boasts a higher G2 Score and a larger volume of recent reviews, reflecting its growing popularity and user trust.
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
Hadoop HDFS
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
Hadoop HDFS
No trial information availableRatings
Meets Requirements
8.8
616
8.6
118
Ease of Use
8.7
632
7.5
120
Ease of Setup
8.8
407
6.9
47
Ease of Admin
8.5
224
7.1
44
Quality of Support
8.4
565
7.8
103
Has the product been a good partner in doing business?
8.6
217
7.7
42
Product Direction (% positive)
9.3
605
8.0
113
Features by Category
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
Data Management
8.9
220
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
203
|
Verified
Not enough data
8.7
200
|
Verified
Not enough data
Integration
8.5
202
|
Verified
Not enough data
8.6
213
|
Verified
Not enough data
8.6
200
|
Verified
Not enough data
Deployment
7.7
186
|
Verified
Not enough data
9.1
216
|
Verified
Not enough data
Performance
9.1
224
|
Verified
Not enough data
Security
8.7
207
|
Verified
Not enough data
9.1
213
|
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
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
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
42
8.9
173
9.1
46
8.7
167
9.0
40
Integrations
8.4
136
9.1
44
8.5
133
8.8
40
Platform
8.9
151
8.3
40
8.9
165
8.4
43
8.5
133
8.8
40
Processing
9.2
168
8.7
36
9.1
161
8.5
41
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
278
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 Hadoop HDFS are categorized as Big Data Processing and Distribution
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Hadoop HDFS 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.)
Hadoop HDFS
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
6.4%
Marketing and Advertising
5.1%
Other
51.7%
Computer Software
24.0%
Information Technology and Services
21.7%
Internet
7.8%
Financial Services
4.7%
Higher Education
3.9%
Other
38.0%
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
What is Hadoop HDFS used for?
1 Comment
VV
Hadoop HDFS is used for storing large volume of data... so called 'Big Data'.
Read more
Hadoop HDFS has no more discussions with answers
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