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Compare Google Cloud BigQuery and Hadoop HDFS 
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At a Glance
Market Segments
Enterprise (38.0% of reviews)
Enterprise (55.0% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,202)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
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)
Entry-Level Pricing
No pricing available
Learn more about Hadoop HDFSSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Hadoop HDFS excels in data integration with a score of 9.0, allowing seamless connections to various data sources, while Google Cloud BigQuery, although strong, scores slightly lower at 8.6. Reviewers mention that the flexibility of Hadoop HDFS in handling diverse data types is a significant advantage for enterprises.
- Reviewers mention that Google Cloud BigQuery shines in ease of use, scoring 8.7 compared to Hadoop HDFS's 7.5. Users on G2 appreciate BigQuery's intuitive interface and quick setup, which they find beneficial for teams with limited technical expertise.
- G2 users highlight that Hadoop HDFS offers robust data compression capabilities with a score of 8.3, which is crucial for managing large datasets efficiently. In contrast, Google Cloud BigQuery's data compression features are noted as effective but not as comprehensive, scoring 8.0 according to user feedback.
- Users say that Google Cloud BigQuery's built-in data analytics features, scoring 8.6, provide powerful tools for real-time insights, making it a preferred choice for businesses focused on immediate data analysis. Hadoop HDFS, while capable, lacks the same level of integrated analytics, scoring 8.6 but requiring additional tools for similar functionality.
- Reviewers mention that Hadoop HDFS's scalability is a standout feature, scoring 9.3, which is essential for enterprises expecting rapid data growth. In comparison, Google Cloud BigQuery also performs well in scalability with a score of 8.7, but users note that Hadoop's architecture is better suited for massive data workloads.
- Users on G2 report that Google Cloud BigQuery's performance and reliability are exceptional, with a score of 9.1, particularly in cloud processing and workload management. Hadoop HDFS, while reliable, scores lower in these areas, indicating that BigQuery may be a better fit for organizations prioritizing cloud-based solutions.
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
612
8.6
118
Ease of Use
8.7
626
7.5
120
Ease of Setup
8.8
401
6.9
47
Ease of Admin
8.5
224
7.1
44
Quality of Support
8.4
564
7.8
103
Has the product been a good partner in doing business?
8.7
217
7.7
42
Product Direction (% positive)
9.2
600
8.0
113
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
124
Not enough data
9.0
124
Not enough data
8.9
123
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
Not enough data
9.1
215
|
Verified
Not enough data
Performance
9.2
220
|
Verified
Not enough data
Security
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Not enough data
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
77
Not enough data
9.0
78
Not enough data
8.8
78
Not enough data
Data Analysis
9.3
77
Not enough data
9.1
78
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
7.6
50
Not enough data
7.9
50
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
42
8.9
176
9.1
46
8.8
170
9.0
40
Integrations
8.4
139
9.1
44
8.6
136
8.8
40
Platform
8.9
153
8.3
40
8.9
168
8.4
43
8.6
136
8.8
40
Processing
9.3
170
8.7
36
9.1
164
8.5
41
Data Transformation
8.8
288
Not enough data
9.3
295
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 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
13.6%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.6%
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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