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- Big Data Integration Platforms
- Azure Data Factory
- Pentaho Data Integration
- Azure Data Factory-vs-Pentaho Data Integration
Compare Azure Data Factory and Pentaho Data Integration 
At a Glance
Market Segments
Enterprise (62.3% of reviews)
Mid-Market (43.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Factory
Star Rating
(82)4.6 out of 5
Market Segments
Enterprise (62.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactoryPentaho Data Integration
Star Rating
(16)4.3 out of 5
Market Segments
Mid-Market (43.8% 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 to quickly implement data integration solutions. In contrast, Pentaho Data Integration has a lower score of 7.6 in this area, indicating a steeper learning curve for new users.
- Reviewers mention that Azure Data Factory's "Data Transformation" capabilities are highly rated at 9.3, with users appreciating its robust features for transforming data efficiently. Pentaho Data Integration, while still strong, has a slightly lower score of 9.0, suggesting that Azure may offer more advanced or user-friendly transformation tools.
- G2 users highlight Azure Data Factory's superior "Quality of Support" with a score of 8.8, indicating that users feel well-supported during their integration processes. In comparison, Pentaho Data Integration's support is rated at 7.3, which may lead to challenges for users needing assistance.
- Users on G2 report that Azure Data Factory shines in "Automation" with a score of 9.2, allowing for streamlined workflows and reduced manual intervention. Pentaho Data Integration, while capable, has a lower score of 8.5, suggesting that its automation features may not be as comprehensive or intuitive.
- Reviewers mention that Azure Data Factory's "Scalability" is rated at 9.3, making it an ideal choice for enterprises that anticipate growth and need a solution that can scale with their data needs. Pentaho Data Integration, with a score of 8.5, may not provide the same level of scalability for larger organizations.
- Users say that Azure Data Factory's "Real-Time Data Collection" capabilities are a standout feature, allowing for timely data processing and analytics. In contrast, Pentaho Data Integration does not emphasize real-time capabilities as strongly, which could be a drawback for businesses requiring immediate data insights.
Featured Products
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On-Premise Data Integration
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Help Desk Migration Services
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On-Premise Data Integration
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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
61
8.7
14
Ease of Use
9.0
62
8.5
14
Ease of Setup
9.1
27
7.7
8
Ease of Admin
8.5
21
8.6
7
Quality of Support
8.8
57
7.3
11
Has the product been a good partner in doing business?
9.4
21
8.6
6
Product Direction (% positive)
9.8
57
9.1
13
Features by Category
Management
8.5
41
Not enough data
8.5
40
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
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
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
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Not enough data
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Not enough data
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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
33.3%
Computer Software
14.1%
Financial Services
5.1%
Airlines/Aviation
5.1%
Retail
3.8%
Other
38.5%
Information Technology and Services
37.5%
Telecommunications
12.5%
Internet
6.3%
Information Services
6.3%
Import and Export
6.3%
Other
31.3%
Most Helpful Reviews
Azure Data Factory
Most Helpful Favorable Review
Ajinkya D.
Verified User in Information Technology and Services
Ease to making and deploying the data pipeline in Azure Data factory and best for all migration of large of amount of database .
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
Shishir B.
Verified User in Telecommunications
It is easy to use with graphical options for various things such as transformation.
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.
Ajinkya D.
Verified User in Information Technology and Services
Ease to making and deploying the data pipeline in Azure Data factory and best for all migration of large of amount of database .
Shishir B.
Verified User in Telecommunications
It is easy to use with graphical options for various things such as transformation.
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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