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- Google Cloud BigQuery-vs-Google Cloud Dataflow
Compare Google Cloud BigQuery and Google Cloud Dataflow 
At a Glance
Market Segments
Enterprise (39.6% of reviews)
Enterprise (40.4% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,146)4.5 out of 5
Market Segments
Enterprise (39.6% of reviews)
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansGoogle Cloud Dataflow
Star Rating
(59)4.3 out of 5
Market Segments
Enterprise (40.4% 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.
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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
565
9.3
39
Ease of Use
8.7
577
8.2
39
Ease of Setup
8.6
337
8.6
19
Ease of Admin
8.5
216
8.8
11
Quality of Support
8.3
519
8.4
36
Has the product been a good partner in doing business?
8.7
210
9.1
11
Product Direction (% positive)
9.2
554
9.4
38
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
8.3
71
Not enough data
8.1
69
Not enough data
Functionality
8.7
69
Not enough data
8.8
72
Not enough data
8.8
72
Not enough data
8.8
73
Not enough data
9.2
72
Not enough data
Data Management
8.8
147
|
Verified
Not enough data
8.1
140
|
Verified
Not enough data
8.7
144
|
Verified
Not enough data
8.4
140
|
Verified
Not enough data
8.1
129
|
Verified
Not enough data
8.6
131
|
Verified
Not enough data
Integration
8.3
130
|
Verified
Not enough data
8.5
142
|
Verified
Not enough data
8.5
130
|
Verified
Not enough data
Deployment
7.6
118
|
Verified
Not enough data
9.0
141
|
Verified
Not enough data
Performance
9.1
145
|
Verified
Not enough data
Security
8.7
137
|
Verified
Not enough data
9.0
142
|
Verified
Not enough data
Generative AI
7.6
58
Not enough data
7.6
56
Not enough data
Storage
8.8
52
Not enough data
8.5
51
Not enough data
Availability
8.3
45
Not enough data
8.5
48
Not enough data
8.3
50
Not enough data
Performance
8.5
48
Not enough data
Security
8.4
52
Not enough data
8.5
51
Not enough data
8.3
50
Not enough data
8.5
46
Not enough data
Support
8.5
48
Not enough data
8.7
46
Not enough data
Centralized computation
8.3
11
Not enough data
Localized computation
8.1
12
Not enough data
Statistical Tool
8.6
52
Not enough data
9.0
54
Not enough data
8.7
53
Not enough data
Data Analysis
9.2
52
Not enough data
9.1
53
Not enough data
Decision Making
8.8
54
Not enough data
8.6
53
Not enough data
8.6
54
Not enough data
8.6
52
Not enough data
Generative AI
7.5
27
Not enough data
7.5
27
Not enough data
Marketing Operations
8.9
49
Not enough data
9.1
47
Not enough data
9.0
48
Not enough data
9.4
49
Not enough data
9.0
46
Not enough data
8.6
46
Not enough data
Campaign Activity
9.1
51
Not enough data
9.4
50
Not enough data
8.7
47
Not enough data
9.2
45
Not enough data
8.9
47
Not enough data
9.2
48
Not enough data
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.6
134
8.3
11
8.8
132
8.9
11
8.5
126
8.5
10
Integrations
8.0
96
6.9
7
8.3
93
6.9
8
Platform
8.6
109
8.8
11
8.6
124
8.6
12
8.3
93
6.9
8
Processing
9.1
126
8.9
12
8.9
120
9.2
10
Data Transformation
8.8
236
Not enough data
9.3
243
Not enough data
Connectivity
8.0
205
Not enough data
8.1
204
Not enough data
8.7
231
Not enough data
8.7
223
Not enough data
Operations
8.4
233
Not enough data
8.6
230
Not enough data
8.3
209
Not enough data
8.3
216
Not enough data
8.5
207
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
14.2%
Computer Software
14.0%
Retail
7.6%
Financial Services
6.9%
Marketing and Advertising
5.2%
Other
52.1%
Computer Software
15.8%
Information Technology and Services
7.0%
Consulting
5.3%
Internet
5.3%
Insurance
5.3%
Other
61.4%
Most Helpful Reviews
Google Cloud BigQuery
Most Helpful Favorable Review
Verified User in Marketing and Advertising
Able to execute complex SQL queries with ease.
Most Helpful Critical Review
Verified User in Consumer Services
partitioning only works with date. Join statements don't optimize even trivially without using where clause clauses. from table1 join table2 on table1.a=table2.a and table1.a=123 takes more resources and cost than from table1 ...
Google Cloud Dataflow
Most Helpful Favorable Review
Verified User in Animation
There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images, and videos to their clients and to their audiences without...
Most Helpful Critical Review
Verified User in Accounting
Sometimes while being ran, it can run a wee bit slow but it’s safe to blame that on the systems WiFi for now.
Verified User in Marketing and Advertising
Able to execute complex SQL queries with ease.
Verified User in Animation
There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images, and videos to their clients and to their audiences without...
Verified User in Consumer Services
partitioning only works with date. Join statements don't optimize even trivially without using where clause clauses. from table1 join table2 on table1.a=table2.a and table1.a=123 takes more resources and cost than from table1 ...
Verified User in Accounting
Sometimes while being ran, it can run a wee bit slow but it’s safe to blame that on the systems WiFi for now.
Alternatives
Discussions
Is Big Query free?
3 comments
BG
NoRead more
Yes, BigQuery is a 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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