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Compare Google Cloud BigQuery and Google Cloud Dataflow 
Featured Products
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Small-Business (33.3% 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 plansGoogle Cloud Dataflow
Star Rating
(44)4.2 out of 5
Market Segments
Small-Business (33.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataflowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user satisfaction, boasting a significantly higher overall score compared to Google Cloud Dataflow. Users appreciate its serverless architecture and the ability to focus on SQL without worrying about infrastructure, making data analysis feel smooth and efficient.
- Users say that Google Cloud Dataflow is particularly strong in processing streams of events, with many finding it extremely easy to use for building complex streaming pipelines. The real-time monitoring features are highlighted as a major advantage, allowing users to track important metrics effortlessly.
- Reviewers mention that Google Cloud BigQuery's implementation process is quick and intuitive, with many praising its pay-as-you-go model that simplifies operations and encourages experimentation with larger datasets. This flexibility is a key factor for users looking to scale their data operations.
- According to verified reviews, Google Cloud Dataflow shines in its fault tolerance capabilities, which users find reassuring when launching and monitoring jobs. This reliability is a significant draw for those working with critical data streams.
- G2 reviewers highlight that while Google Cloud BigQuery has a higher ease of use rating, Google Cloud Dataflow still offers a solid experience, particularly for users focused on streaming data. However, some users feel that BigQuery's performance in handling large queries is unmatched, making it a preferred choice for enterprise-level needs.
- Users express that Google Cloud BigQuery's extensive feature set, including BigQuery ML and AI tooling integration, provides a competitive edge for data analysis and machine learning tasks. In contrast, while Dataflow is praised for its basic features, some users feel it lacks the advanced capabilities that BigQuery offers.
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
616
9.0
24
Ease of Use
8.7
632
8.1
24
Ease of Setup
8.8
407
7.9
7
Ease of Admin
8.5
224
8.0
5
Quality of Support
8.4
565
8.3
21
Has the product been a good partner in doing business?
8.6
217
9.0
5
Product Direction (% positive)
9.3
605
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
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
8.3
11
8.9
173
8.9
11
8.7
167
8.5
10
Integrations
8.4
136
6.9
7
8.5
133
6.9
8
Platform
8.9
151
8.8
11
8.9
165
8.6
12
8.5
133
6.9
8
Processing
9.2
168
8.9
12
9.1
161
9.2
10
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 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
13.5%
Retail
7.1%
Financial Services
6.4%
Marketing and Advertising
5.1%
Other
51.7%
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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