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- Azure Data Factory-vs-Pentaho Data Integration
Compare Azure Data Factory and Pentaho Data Integration 
At a Glance
Market Segments
Enterprise (61.8% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Factory
Star Rating
(81)4.6 out of 5
Market Segments
Enterprise (61.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactoryPentaho Data Integration
Star Rating
(15)4.3 out of 5
Market Segments
Mid-Market (46.7% of reviews)
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 Azure Data Factory excels in its "Ease of Setup" with a score of 9.0, making it a preferred choice for organizations looking for a quick deployment. In contrast, Pentaho Data Integration has a lower score of 7.6, indicating a more complex setup process that may require additional time and resources.
- Reviewers mention that Azure Data Factory's "Quality of Support" is rated at 8.8, highlighting its responsive customer service and helpful resources. On the other hand, Pentaho Data Integration's support is rated lower at 7.3, suggesting that users may experience challenges in getting timely assistance.
- G2 users indicate that Azure Data Factory shines in "Data Transformation" with a score of 9.3, allowing for seamless manipulation of data across various formats. Conversely, Pentaho Data Integration, while still effective, has a slightly lower score of 8.6, which may impact users who require extensive transformation capabilities.
- Users on G2 report that Azure Data Factory's "Automation" features are robust, scoring 9.2, which facilitates efficient workflows and reduces manual intervention. Pentaho Data Integration, while offering automation, scores lower at 8.4, which may limit its effectiveness for users seeking high levels of automation.
- Reviewers say that Azure Data Factory's "Scalability" is a standout feature with a score of 9.3, making it suitable for enterprises that anticipate growth. In contrast, Pentaho Data Integration's scalability is rated at 8.0, which may pose challenges for larger organizations looking to expand their data operations.
- Users report that Azure Data Factory's "Real-Time Data Collection" capabilities are superior, allowing for immediate data processing and analysis, which is crucial for businesses needing timely insights. Pentaho Data Integration, while capable, does not match this level of real-time functionality, which could be a deciding factor for data-driven organizations.
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Pricing
Entry-Level Pricing
Azure Data Factory
No pricing availablePentaho Data Integration
No pricing availableFree Trial
Azure Data Factory
No trial information availablePentaho Data Integration
No trial information availableRatings
Meets Requirements
9.2
60
8.8
13
Ease of Use
9.0
61
8.6
13
Ease of Setup
9.0
26
7.6
7
Ease of Admin
8.4
20
8.6
7
Quality of Support
8.8
56
7.3
10
Has the product been a good partner in doing business?
9.3
20
8.6
6
Product Direction (% positive)
9.8
56
9.0
12
Features by Category
Management
8.5
40
Not enough data
8.4
39
Not enough data
Functionality
9.1
43
Not enough data
9.3
43
Not enough data
9.4
40
Not enough data
9.2
43
Not enough data
9.3
41
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
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
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations
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
Processing
Not enough data
Not enough data
Not enough data
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
Azure Data Factory and Pentaho Data Integration are categorized as ETL Tools and Big Data Integration Platforms
Unique Categories
Azure Data Factory has no unique categories
Pentaho Data Integration is categorized as Cloud Migration, On-Premise Data Integration, Data Mapping, and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Azure Data Factory
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
Information Technology and Services
33.8%
Computer Software
14.3%
Airlines/Aviation
5.2%
Retail
3.9%
Hospital & Health Care
3.9%
Other
39.0%
Information Technology and Services
40.0%
Telecommunications
13.3%
Internet
6.7%
Information Services
6.7%
Import and Export
6.7%
Other
26.7%
Most Helpful Reviews
Azure Data Factory
Most Helpful Favorable Review
Shubham S.
Verified User in Information Technology and Services
Easiness to use , no setup required and integration available with 100+ sources to fetch data.
Most Helpful Critical Review
Ravindra J.
Verified User in Transportation/Trucking/Railroad
SOmetimes it becomes difficult to comprehend the errors due to which the data pipeline fails. Even after looking on internet doesn't help so may be the error message can be improved which helps users to comprehend and easily resolve it.
Pentaho Data Integration
Most Helpful Favorable Review
zahit B.
Verified User in Information Technology and Services
Pentaho Data Integration (PDI) is a free and open source tool for all users. Pentaho Data Integration (PDI) is a very high performance product compared to the paid ETL tools. The product is quite simple to use. The components on the left side of the...
Most Helpful Critical Review
Manju S.
Verified User in Higher Education
1. While using Kettle environment variables the appication doesnt work as intended which can be frustrating. 2. Unless paying for the tool, the implementation is something that one has to figure out by themselves.
Shubham S.
Verified User in Information Technology and Services
Easiness to use , no setup required and integration available with 100+ sources to fetch data.
zahit B.
Verified User in Information Technology and Services
Pentaho Data Integration (PDI) is a free and open source tool for all users. Pentaho Data Integration (PDI) is a very high performance product compared to the paid ETL tools. The product is quite simple to use. The components on the left side of the...
Ravindra J.
Verified User in Transportation/Trucking/Railroad
SOmetimes it becomes difficult to comprehend the errors due to which the data pipeline fails. Even after looking on internet doesn't help so may be the error message can be improved which helps users to comprehend and easily resolve it.
Manju S.
Verified User in Higher Education
1. While using Kettle environment variables the appication doesnt work as intended which can be frustrating. 2. Unless paying for the tool, the implementation is something that one has to figure out by themselves.
Discussions
Is Azure data Factory an ETL tool?
1 comment
DM
Yes Azure Data Factory is a No-Code ETL tool. Very easy to use.Read more
Azure Data Factory has no more discussions with answers
Pentaho Data Integration has no discussions with answers
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