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Compare Google Cloud BigQuery and Google Cloud Dataflow 
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At a Glance
Market Segments
Enterprise (38.0% of reviews)
Small-Business (33.3% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,202)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansGoogle Cloud Dataflow
Star Rating
(44)4.2 out of 5
Market Segments
Small-Business (33.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataflowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data processing with a score of 9.7, making it ideal for handling large datasets efficiently. In contrast, Google Cloud Dataflow, while strong in workload processing with a score of 9.2, does not match BigQuery's performance in this area.
- Reviewers mention that Google Cloud BigQuery's real-time processing capabilities are rated at 9.5, which is a significant advantage for users needing immediate insights. On the other hand, Google Cloud Dataflow's real-time analytics score is lower, indicating it may not be as responsive for time-sensitive data tasks.
- G2 users highlight that Google Cloud BigQuery offers superior data querying functionality with a score of 9.3, allowing for complex queries to be executed quickly. Users on G2 note that Google Cloud Dataflow, while capable, does not provide the same level of efficiency in querying large datasets.
- Reviewers say that Google Cloud Dataflow shines in data transformation with a score of 9.0, making it a preferred choice for users focused on ETL processes. In comparison, Google Cloud BigQuery also scores 9.0 in this area, but users report that Dataflow's flexibility in handling transformations is more robust.
- Users report that Google Cloud BigQuery's data integration capabilities are rated at 9.0, making it easier to connect with various data sources. Conversely, Google Cloud Dataflow's integration score is slightly lower, indicating that while it supports integration, it may require more effort to set up.
- Reviewers mention that Google Cloud BigQuery's ease of use is rated at 8.7, which is higher than Google Cloud Dataflow's score of 7.9. This suggests that BigQuery is more user-friendly, particularly for those who may not have extensive technical expertise.
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
Google Cloud Dataflow
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
Google Cloud Dataflow
No trial information availableRatings
Meets Requirements
8.8
612
9.0
24
Ease of Use
8.7
626
8.1
24
Ease of Setup
8.8
401
7.9
7
Ease of Admin
8.5
224
8.0
5
Quality of Support
8.4
564
8.3
21
Has the product been a good partner in doing business?
8.7
217
9.0
5
Product Direction (% positive)
9.2
600
9.0
23
Features by Category
Data
Not enough data
9.8
7
Not enough data
9.6
8
Not enough data
9.3
7
Not enough data
9.6
8
Analytics
Not enough data
8.3
5
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
8.3
11
8.9
176
8.9
11
8.8
170
8.5
10
Integrations
8.4
139
6.9
7
8.6
136
6.9
8
Platform
8.9
153
8.8
11
8.9
168
8.6
12
8.6
136
6.9
8
Processing
9.3
170
8.9
12
9.1
164
9.2
10
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 Google Cloud Dataflow 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
Google Cloud Dataflow is categorized as Event Stream Processing
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataflow
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
11.9%
Internet
7.1%
Entertainment
7.1%
Management Consulting
4.8%
Insurance
4.8%
Other
64.3%
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
Google Cloud Dataflow has no discussions with answers
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