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Compare Hadoop HDFS and Pentaho Data Integration 
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At a Glance
Market Segments
Enterprise (55.0% of reviews)
Mid-Market (41.2% 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 HDFSPentaho Data Integration
Star Rating
(17)4.3 out of 5
Market Segments
Mid-Market (41.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Pentaho Data IntegrationSummary
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, making it a strong choice for handling large datasets across multiple nodes, while Pentaho Data Integration, with a score of 8.6, is noted for its ease of use in data transformation tasks.
- Reviewers mention that Hadoop HDFS offers robust real-time data collection capabilities, scoring 8.5, which is crucial for enterprises needing immediate insights, whereas Pentaho Data Integration shines in data visualization, with users appreciating its intuitive interface for creating reports.
- G2 users highlight that Hadoop HDFS has superior scalability features, rated at 8.4, allowing businesses to grow their data storage needs seamlessly, while Pentaho Data Integration is praised for its no-code functionality, enabling users to perform complex data manipulations without extensive programming knowledge.
- Users on G2 indicate that Hadoop HDFS provides excellent integration variety, particularly with Spark, scoring 8.9, which is essential for organizations leveraging big data technologies, while Pentaho Data Integration is recognized for its strong data migration capabilities, making it easier to move data between systems.
- Reviewers say that Hadoop HDFS's performance and reliability are rated at 8.4, ensuring consistent uptime and data availability, while Pentaho Data Integration's quality of support, rated at 7.3, has received mixed feedback, with some users wishing for more responsive assistance.
- Users report that Hadoop HDFS's management features, particularly in backup and recovery, are robust, providing peace of mind for data integrity, while Pentaho Data Integration is noted for its user-friendly setup process, scoring 7.6, which helps new users get started quickly.
Pricing
Entry-Level Pricing
Hadoop HDFS
No pricing availablePentaho Data Integration
No pricing availableFree Trial
Hadoop HDFS
No trial information availablePentaho Data Integration
No trial information availableRatings
Meets Requirements
8.6
118
8.7
15
Ease of Use
7.5
120
8.6
15
Ease of Setup
6.9
47
8.0
9
Ease of Admin
7.1
44
8.6
7
Quality of Support
7.8
103
7.2
12
Has the product been a good partner in doing business?
7.7
42
8.6
6
Product Direction (% positive)
8.0
113
9.2
14
Features by Category
Management
Not enough data
8.7
5
Not enough data
9.0
5
Functionality
Not enough data
9.7
5
Not enough data
9.7
5
Not enough data
9.3
5
Not enough data
8.3
5
Not enough data
8.7
5
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Agentic AI - Cloud Migration
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.6
42
Not enough data
9.1
46
Not enough data
9.0
40
Not enough data
Integrations
9.1
44
Not enough data
8.8
40
Not enough data
Platform
8.3
40
Not enough data
8.4
43
Not enough data
8.8
40
Not enough data
Processing
8.7
36
Not enough data
8.5
41
Not enough data
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 Pentaho Data Integration are categorized as Big Data Processing and Distribution
Unique Categories
Hadoop HDFS has no unique categories
Pentaho Data Integration is categorized as Cloud Migration, Big Data Integration Platforms, ETL Tools, On-Premise Data Integration, and Data Mapping
Reviews
Reviewers' Company Size
Hadoop HDFS
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Pentaho Data Integration
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
35.3%
Telecommunications
11.8%
Banking
11.8%
Internet
5.9%
Information Services
5.9%
Other
29.4%
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
Pentaho Data Integration has no discussions with answers
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