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Compare Google Cloud Dataproc and Hadoop HDFS 
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At a Glance
Market Segments
Mid-Market (46.7% of reviews)
Enterprise (55.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Google 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 DataprocHadoop HDFS
Star Rating
(141)4.4 out of 5
Market Segments
Enterprise (55.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Hadoop HDFSSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Hadoop HDFS excels in data distribution with a score of 9.1, which reviewers mention is crucial for handling large datasets efficiently, while Google Cloud Dataproc follows closely with a score of 8.8, indicating strong performance but slightly less optimal for massive data workloads.
- Reviewers mention that Google Cloud Dataproc shines in ease of use, scoring 9.0 compared to Hadoop HDFS's 7.5. Users on G2 appreciate the intuitive interface and streamlined setup process of Dataproc, making it more accessible for teams without extensive technical expertise.
- G2 users highlight that Hadoop HDFS offers superior scalability with a score of 8.4, which is essential for enterprises looking to grow their data infrastructure. In contrast, Google Cloud Dataproc, while still robust, scores 8.3, indicating it may not scale as seamlessly for very large operations.
- Users say that the integration capabilities of both products are strong, with Hadoop HDFS scoring 9.1 for Hadoop integration and 8.9 for Spark integration, while Google Cloud Dataproc scores 9.0 for Hadoop and 9.4 for Spark, suggesting that Dataproc may have a slight edge in Spark integration, which is vital for real-time data processing.
- Reviewers mention that the quality of support for Google Cloud Dataproc is rated higher at 8.8 compared to Hadoop HDFS's 7.8. Users report that responsive customer service and comprehensive documentation make Dataproc a more reliable choice for ongoing support.
- Users on G2 report that both products have strong performance in cloud processing, with Hadoop HDFS scoring 8.9 and Google Cloud Dataproc at 9.0. However, reviewers mention that Dataproc's cloud-native architecture allows for more efficient resource management and cost-effectiveness in cloud environments.
Pricing
Entry-Level Pricing
Google Cloud Dataproc
No pricing availableHadoop HDFS
No pricing availableFree Trial
Google Cloud Dataproc
No trial information availableHadoop HDFS
No trial information availableRatings
Meets Requirements
8.7
10
8.6
118
Ease of Use
9.0
10
7.5
120
Ease of Setup
Not enough data
6.9
47
Ease of Admin
Not enough data
7.1
44
Quality of Support
8.8
10
7.8
103
Has the product been a good partner in doing business?
Not enough data
7.7
42
Product Direction (% positive)
8.8
10
8.0
113
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
8
8.6
42
8.8
8
9.1
46
8.1
8
9.0
40
Integrations
9.0
8
9.1
44
9.4
8
8.8
40
Platform
9.2
8
8.3
40
7.9
8
8.4
43
9.4
8
8.8
40
Processing
9.0
8
8.7
36
8.3
8
8.5
41
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 Dataproc and Hadoop HDFS are categorized as Big Data Processing and Distribution
Unique Categories
Google Cloud Dataproc is categorized as ETL Tools
Hadoop HDFS has no unique categories
Reviews
Reviewers' Company Size
Google Cloud Dataproc
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Hadoop HDFS
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
26.7%
Retail
13.3%
Marketing and Advertising
6.7%
Hospital & Health Care
6.7%
Higher Education
6.7%
Other
40.0%
Computer Software
24.0%
Information Technology and Services
21.7%
Internet
7.8%
Financial Services
4.7%
Higher Education
3.9%
Other
38.0%
Alternatives
Discussions
Google Cloud Dataproc has no discussions with answers
What is Hadoop HDFS used for?
1 Comment
VV
Hadoop HDFS is used for storing large volume of data... so called 'Big Data'.
Read more
Hadoop HDFS has no more discussions with answers
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