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Compare Hadoop HDFS and IBM watsonx.data 
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At a Glance
Market Segments
Enterprise (55.0% of reviews)
Enterprise (36.6% 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 HDFSIBM watsonx.data
Star Rating
(93)4.3 out of 5
Market Segments
Enterprise (36.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.dataSummary
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, indicating its strong capability to manage large datasets across distributed systems. In contrast, IBM watsonx.data received a slightly lower score of 9.0, suggesting it may not be as robust in this area.
- Reviewers mention that IBM watsonx.data shines in "Ease of Use" with a score of 8.4, making it more user-friendly for those new to data management compared to Hadoop HDFS, which scored 7.5. This difference can significantly impact the onboarding process for teams.
- G2 users highlight that Hadoop HDFS has a strong performance in "Hadoop Integration" with a score of 9.1, making it a preferred choice for organizations already utilizing Hadoop ecosystems. Conversely, IBM watsonx.data scored 8.6, indicating it may not integrate as seamlessly with existing Hadoop frameworks.
- Users on G2 report that IBM watsonx.data offers superior "Quality of Support" with a score of 8.4, compared to Hadoop HDFS's score of 7.8. This suggests that users may find more responsive and helpful support when using IBM's solution.
- Reviewers mention that Hadoop HDFS provides strong "Secured Data Storage" with a score of 8.6, which is crucial for enterprises handling sensitive information. IBM watsonx.data, while still competent, does not match this level of security, reflecting a score of 8.0 in this area.
- Users say that IBM watsonx.data excels in "Data Modeling" with a score of 8.9, indicating a more advanced capability for users looking to create complex data models. Hadoop HDFS, with a score of 7.9, may not offer the same level of sophistication in this aspect.
Pricing
Entry-Level Pricing
Hadoop HDFS
No pricing availableIBM watsonx.data
No pricing availableFree Trial
Hadoop HDFS
No trial information availableIBM watsonx.data
Free Trial is available
Ratings
Meets Requirements
8.6
118
8.5
70
Ease of Use
7.5
120
8.0
82
Ease of Setup
6.9
47
7.6
75
Ease of Admin
7.1
44
7.6
30
Quality of Support
7.8
103
8.3
65
Has the product been a good partner in doing business?
7.7
42
8.0
29
Product Direction (% positive)
8.0
113
9.2
70
Features by Category
Administration
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
8.0
5
Not enough data
7.7
5
Management
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Compliance
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
7.7
5
Not enough data
7.7
5
Security
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Data Quality
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
Maintainence
Not enough data
8.3
5
Not enough data
8.7
5
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
Not enough data
6.0
5
Not enough data
6.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Data Management
Not enough data
8.3
6
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
7.5
6
Not enough data
8.1
6
Integration
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
8.6
6
Deployment
Not enough data
8.1
6
Not enough data
9.4
6
Performance
Not enough data
8.6
6
Security
Not enough data
9.2
6
Not enough data
9.4
6
Generative AI
Not enough data
8.3
5
Not enough data
8.7
5
Data Management
Not enough data
8.2
46
Not enough data
8.3
45
Not enough data
8.5
45
Data as a Service
Not enough data
8.3
45
Not enough data
8.5
45
Architecture
Not enough data
8.2
45
Not enough data
8.4
45
Database
8.6
42
8.6
28
9.1
46
8.8
27
9.0
40
8.6
28
Integrations
9.1
44
8.3
28
8.8
40
8.5
27
Platform
8.3
40
8.4
27
8.4
43
8.6
28
8.8
40
8.5
27
Processing
8.7
36
8.8
27
8.5
41
8.9
25
Data Transformation
Not enough data
7.2
9
Not enough data
7.2
9
Connectivity
Not enough data
7.2
9
Not enough data
7.4
9
Not enough data
8.0
9
Not enough data
7.4
9
Operations
Not enough data
7.5
10
Not enough data
8.0
10
Not enough data
8.0
9
Not enough data
6.8
10
Not enough data
7.8
10
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 IBM watsonx.data are categorized as Big Data Processing and Distribution
Unique Categories
Hadoop HDFS has no unique categories
IBM watsonx.data is categorized as Data as a Service (DaaS), Big Data Analytics, Data Governance, Data Science and Machine Learning Platforms, Data Warehouse, and ETL Tools
Reviews
Reviewers' Company Size
Hadoop HDFS
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM watsonx.data
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
24.4%
Computer Software
14.6%
Consulting
8.5%
Financial Services
7.3%
Banking
6.1%
Other
39.0%
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
IBM watsonx.data has no discussions with answers
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