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Compare Hadoop HDFS and Oracle Big Data Cloud Service 
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At a Glance
Market Segments
Enterprise (55.0% of reviews)
Enterprise (69.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Hadoop 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 HDFSOracle Big Data Cloud Service
Star Rating
(14)4.0 out of 5
Market Segments
Enterprise (69.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Oracle Big Data Cloud ServiceSummary
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, allowing for efficient handling of large datasets across multiple nodes, while Oracle Big Data Cloud Service scores lower at 8.3 in this area, indicating potential limitations in its data distribution capabilities.
- Reviewers mention that Hadoop HDFS offers strong integration with Hadoop ecosystems, scoring 9.1, which is crucial for organizations heavily invested in Hadoop technologies. In contrast, Oracle Big Data Cloud Service, with a score of 8.3 for Hadoop integration, may not provide the same level of seamless connectivity.
- G2 users highlight that Oracle Big Data Cloud Service shines in Spark integration, achieving a score of 9.3, which is beneficial for users looking to leverage Spark for real-time analytics. Hadoop HDFS, while still strong at 8.9, may not offer the same level of optimization for Spark users.
- Users on G2 report that Hadoop HDFS has a robust data lake capability, scoring 9.0, making it an excellent choice for organizations looking to build extensive data lakes. Oracle Big Data Cloud Service lacks a specific score in this area, suggesting it may not be as focused on data lake functionalities.
- Reviewers mention that Oracle Big Data Cloud Service has a slight edge in ease of administration with a score of 8.3 compared to Hadoop HDFS's 7.1, indicating that users may find Oracle's platform easier to manage and maintain.
- Users say that both platforms perform well in cloud processing, with Hadoop HDFS scoring 8.9 and Oracle Big Data Cloud Service at 8.7, but the slight edge for Hadoop may appeal to users prioritizing cloud-native solutions.
Pricing
Entry-Level Pricing
Hadoop HDFS
No pricing availableOracle Big Data Cloud Service
No pricing availableFree Trial
Hadoop HDFS
No trial information availableOracle Big Data Cloud Service
No trial information availableRatings
Meets Requirements
8.6
118
8.7
10
Ease of Use
7.5
120
7.4
9
Ease of Setup
6.9
47
7.0
5
Ease of Admin
7.1
44
8.3
5
Quality of Support
7.8
103
7.7
8
Has the product been a good partner in doing business?
7.7
42
Not enough data
Product Direction (% positive)
8.0
113
4.8
9
Features by Category
Database
8.6
42
8.7
5
9.1
46
8.3
7
9.0
40
Feature Not Available
Integrations
9.1
44
8.3
6
8.8
40
9.3
5
Platform
8.3
40
8.7
5
8.4
43
8.1
6
8.8
40
9.3
5
Processing
8.7
36
8.7
5
8.5
41
8.3
6
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
Hadoop HDFS and Oracle Big Data Cloud Service are categorized as Big Data Processing and Distribution
Unique Categories
Hadoop HDFS has no unique categories
Oracle Big Data Cloud Service has no unique categories
Reviews
Reviewers' Company Size
Hadoop HDFS
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Oracle Big Data Cloud Service
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
24.0%
Information Technology and Services
21.7%
Internet
7.8%
Financial Services
4.7%
Higher Education
3.9%
Other
38.0%
Information Technology and Services
15.4%
Financial Services
15.4%
Computer Software
15.4%
Telecommunications
7.7%
Semiconductors
7.7%
Other
38.5%
Alternatives
Discussions
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
Oracle Big Data Cloud Service has no discussions with answers
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