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- Amazon EMR
- Google Cloud Dataproc
- Amazon EMR-vs-Google Cloud Dataproc
Compare Amazon EMR and Google Cloud Dataproc 
At a Glance
Market Segments
Enterprise (58.9% of reviews)
Mid-Market (45.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon EMR
Star Rating
(64)4.1 out of 5
Market Segments
Enterprise (58.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon EMRGoogle Cloud Dataproc
Star Rating
(22)4.4 out of 5
Market Segments
Mid-Market (45.0% of reviews)
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 Amazon EMR excels in Hadoop Integration with a score of 8.9, while Google Cloud Dataproc shines even brighter with a score of 9.0, indicating a more seamless experience for users who rely heavily on Hadoop frameworks.
- Reviewers mention that Google Cloud Dataproc offers superior Spark Integration, scoring 9.4 compared to Amazon EMR's 8.9, which suggests that users looking for robust Spark capabilities may find Dataproc to be the better choice.
- G2 users highlight that Amazon EMR has a strong performance in Cloud Processing with a score of 9.1, while Google Cloud Dataproc follows closely with 9.0, indicating both platforms are reliable but EMR may have a slight edge in cloud processing capabilities.
- Users on G2 report that Google Cloud Dataproc provides a more user-friendly experience, scoring 9.0 in Ease of Use compared to Amazon EMR's 8.2, making it a preferable option for teams prioritizing ease of navigation and setup.
- Reviewers say that Amazon EMR's Quality of Support is rated at 8.2, which is lower than Google Cloud Dataproc's 8.8, suggesting that users may find more responsive and helpful support with Dataproc.
- Users report that both platforms perform well in Real-Time Data Collection, each scoring 8.1, but they note that Amazon EMR's overall management and reporting features are slightly more robust, making it a better fit for enterprises needing comprehensive data oversight.
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Pricing
Entry-Level Pricing
Amazon EMR
No pricing availableGoogle Cloud Dataproc
No pricing availableFree Trial
Amazon EMR
No trial information availableGoogle Cloud Dataproc
No trial information availableRatings
Meets Requirements
8.6
50
9.0
14
Ease of Use
8.2
49
9.2
14
Ease of Setup
8.4
22
7.7
5
Ease of Admin
8.6
22
Not enough data
Quality of Support
8.2
49
8.9
14
Has the product been a good partner in doing business?
8.9
22
Not enough data
Product Direction (% positive)
7.9
44
8.4
15
Features by Category
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
8.1
27
8.1
8
8.5
30
8.8
8
8.1
7
8.1
8
Integrations
8.9
33
9.0
8
8.9
31
9.4
8
Platform
8.7
25
9.2
8
8.7
31
7.9
8
8.9
31
9.4
8
Processing
9.1
31
9.0
8
8.7
31
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
Amazon EMR and Google Cloud Dataproc are categorized as Big Data Processing and Distribution
Unique Categories
Amazon EMR has no unique categories
Google Cloud Dataproc is categorized as ETL Tools
Reviews
Reviewers' Company Size
Amazon EMR
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
Financial Services
25.0%
Computer Software
19.6%
Information Technology and Services
14.3%
Retail
5.4%
Health, Wellness and Fitness
3.6%
Other
32.1%
Information Technology and Services
30.0%
Retail
10.0%
Computer Software
10.0%
Consulting
5.0%
Real Estate
5.0%
Other
40.0%
Most Helpful Reviews
Amazon EMR
Most Helpful Favorable Review
Gaurav M.
Verified User in Sports
Amazon EMR is a much more powerful product to deploy big data solutions on top of Spark, Flink, scoop, etc. It is very is to configure and provides a nice UI that helps a lot in debugging spark jobs. Apart from that, from an observability point of view, EMR...
Most Helpful Critical Review
Verified User in Biotechnology
Takes a very long time to spin up a cluster, and is relatively expensive.
Google Cloud Dataproc
Most Helpful Favorable Review
Edgar A.
Verified User in Retail
A great tool that maybe is not as popular as AWS EMR, but that punches above its weight. An elegant implementation.
Most Helpful Critical Review
Verified User in Telecommunications
need to support redhat or other linux os
Gaurav M.
Verified User in Sports
Amazon EMR is a much more powerful product to deploy big data solutions on top of Spark, Flink, scoop, etc. It is very is to configure and provides a nice UI that helps a lot in debugging spark jobs. Apart from that, from an observability point of view, EMR...
Edgar A.
Verified User in Retail
A great tool that maybe is not as popular as AWS EMR, but that punches above its weight. An elegant implementation.
Verified User in Biotechnology
Takes a very long time to spin up a cluster, and is relatively expensive.
Verified User in Telecommunications
need to support redhat or other linux os
Alternatives
Discussions
Amazon EMR has no discussions with answers
Google Cloud Dataproc has no discussions with answers
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