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Compare Google Cloud Dataflow and Google Cloud Dataproc 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Google 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 DataflowGoogle Cloud Dataproc
Star Rating
(17)4.4 out of 5
Market Segments
Mid-Market (46.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataprocSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Dataproc excels in Hadoop Integration with a score of 9.0, making it a preferred choice for organizations heavily invested in Hadoop ecosystems. In contrast, Google Cloud Dataflow's Hadoop Integration score is significantly lower at 6.9, indicating less compatibility with Hadoop-based workflows.
- Reviewers mention that Google Cloud Dataproc offers superior Spark Integration, scoring 9.4, which is beneficial for users looking to leverage Spark for big data processing. On the other hand, Google Cloud Dataflow also scores 6.9 in this area, suggesting it may not be the best fit for Spark-centric applications.
- G2 users highlight that Google Cloud Dataproc provides a more user-friendly experience with an Ease of Use score of 9.0, while Google Cloud Dataflow's score of 7.9 indicates a steeper learning curve, which may affect new users trying to get started quickly.
- Users on G2 report that Google Cloud Dataflow shines in Real-Time Processing with a score of 9.5, making it ideal for applications requiring immediate data insights. In contrast, Google Cloud Dataproc, while strong in batch processing, does not focus as heavily on real-time capabilities.
- Reviewers say that Google Cloud Dataproc's Data Preparation score of 7.9 is lower than Google Cloud Dataflow's 8.6, suggesting that Dataflow may offer more robust tools for preparing data for analysis, which can be crucial for data-driven decision-making.
- Users report that Google Cloud Dataflow has a higher Workload Processing score of 9.2 compared to Google Cloud Dataproc's 8.3, indicating that Dataflow may handle diverse workloads more efficiently, which is essential for organizations with varying data processing needs.
Pricing
Entry-Level Pricing
Google Cloud Dataflow
No pricing availableGoogle Cloud Dataproc
No pricing availableFree Trial
Google Cloud Dataflow
No trial information availableGoogle Cloud Dataproc
No trial information availableRatings
Meets Requirements
9.0
24
8.7
10
Ease of Use
8.1
24
9.0
10
Ease of Setup
7.9
7
Not enough data
Ease of Admin
8.0
5
Not enough data
Quality of Support
8.3
21
8.8
10
Has the product been a good partner in doing business?
9.0
5
Not enough data
Product Direction (% positive)
9.0
23
8.8
10
Features by Category
Data
9.8
7
Not enough data
9.6
8
Not enough data
9.3
7
Not enough data
9.6
8
Not enough data
Analytics
8.3
5
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
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
Database
8.3
11
8.1
8
8.9
11
8.8
8
8.5
10
8.1
8
Integrations
6.9
7
9.0
8
6.9
8
9.4
8
Platform
8.8
11
9.2
8
8.6
12
7.9
8
6.9
8
9.4
8
Processing
8.9
12
9.0
8
9.2
10
8.3
8
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 Dataflow and Google Cloud Dataproc are categorized as Big Data Processing and Distribution
Unique Categories
Google Cloud Dataflow is categorized as Event Stream Processing
Google Cloud Dataproc is categorized as ETL Tools
Reviews
Reviewers' Company Size
Google Cloud Dataflow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataproc
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
Computer Software
11.9%
Internet
7.1%
Entertainment
7.1%
Management Consulting
4.8%
Insurance
4.8%
Other
64.3%
Information Technology and Services
26.7%
Retail
13.3%
Marketing and Advertising
6.7%
Hospital & Health Care
6.7%
Higher Education
6.7%
Other
40.0%
Alternatives
Discussions
Google Cloud Dataflow has no discussions with answers
Google Cloud Dataproc has no discussions with answers
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