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Compare Azure Data Factory and Google Cloud Dataproc 
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At a Glance
Market Segments
Enterprise (63.0% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactoryGoogle 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 its integration with Hadoop and Spark, with a strong rating of 9.0 and 9.4 respectively, making it a preferred choice for organizations heavily invested in these technologies. In contrast, Azure Data Factory also offers robust integration capabilities but is noted for its superior ease of setup, scoring 9.0, which some users find beneficial for quick deployment.
- Reviewers mention that Azure Data Factory shines in its automation features, achieving a high score of 9.2, which allows for seamless data workflows. Google Cloud Dataproc, while also strong in automation with a score of 9.2, is often highlighted for its flexibility in handling large-scale data processing tasks.
- G2 users indicate that Azure Data Factory has a slight edge in user satisfaction with a G2 rating of 4.6 compared to Google Cloud Dataproc's 4.4. This is attributed to Azure's comprehensive support and documentation, which users find helpful for troubleshooting and onboarding.
- Users on G2 report that Google Cloud Dataproc's real-time data collection feature, rated at 8.1, is effective for streaming data applications, but some users feel it could benefit from enhanced data lake capabilities, which scored lower at 8.1. In contrast, Azure Data Factory's data lake integration is perceived as more robust, contributing to its higher overall ratings.
- Reviewers mention that the quality of support for both products is rated equally at 8.8, but Azure Data Factory users often highlight the proactive nature of support, stating that they feel more supported in their data management tasks compared to their experiences with Google Cloud Dataproc.
- Users say that while both platforms offer strong scalability options, Google Cloud Dataproc's machine scaling feature, rated at 9.2, is particularly praised for its efficiency in managing workloads during peak times, whereas Azure Data Factory's scalability is noted but not as frequently highlighted in user reviews.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing availableGoogle Cloud Dataproc
No pricing availableFree Trial
Azure Data Factory
No trial information availableGoogle Cloud Dataproc
No trial information availableRatings
Meets Requirements
9.2
65
8.7
10
Ease of Use
8.9
66
9.0
10
Ease of Setup
9.2
31
Not enough data
Ease of Admin
8.6
23
Not enough data
Quality of Support
8.8
60
8.8
10
Has the product been a good partner in doing business?
9.3
22
Not enough data
Product Direction (% positive)
9.8
61
8.8
10
Features by Category
Management
8.4
45
Not enough data
8.4
44
Not enough data
Functionality
9.1
47
Not enough data
9.1
47
Not enough data
9.3
44
Not enough data
9.1
47
Not enough data
9.1
45
Not enough data
Database
Not enough data
8.1
8
Not enough data
8.8
8
Not enough data
8.1
8
Integrations
Not enough data
9.0
8
Not enough data
9.4
8
Platform
Not enough data
9.2
8
Not enough data
7.9
8
Not enough data
9.4
8
Processing
Not enough data
9.0
8
Not enough data
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
Azure Data Factory and Google Cloud Dataproc are categorized as ETL Tools
Unique Categories
Azure Data Factory is categorized as Big Data Integration Platforms
Google Cloud Dataproc is categorized as Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Azure Data Factory
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
Information Technology and Services
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
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
Is Azure data Factory an ETL tool?
2 Comments
AG
yesRead more
Azure Data Factory has no more discussions with answers
Google Cloud Dataproc has no discussions with answers
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