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Compare IBM DataStage and Pentaho Data Integration 
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At a Glance
Market Segments
Enterprise (73.3% of reviews)
Mid-Market (41.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM DataStage
Star Rating
(71)4.0 out of 5
Market Segments
Enterprise (73.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM DataStagePentaho 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 IBM DataStage excels in data transformation capabilities, with a score of 9.1, while Pentaho Data Integration also performs well but slightly lower at 8.6. Reviewers mention that DataStage's robust ETL processes are particularly beneficial for large enterprises needing complex data workflows.
- Reviewers mention that Pentaho Data Integration shines in ease of use, scoring 8.6 compared to IBM DataStage's 8.0. Users on G2 appreciate Pentaho's intuitive interface, which simplifies the onboarding process for new users.
- G2 users highlight that IBM DataStage has a strong focus on enterprise-level features, with a significant percentage of its user base coming from large organizations. In contrast, Pentaho Data Integration is favored by mid-market companies, as noted by its 46.7% market segment representation.
- Users say that IBM DataStage's quality of support is rated at 7.7, which is slightly higher than Pentaho's 7.3. Reviewers mention that DataStage's support team is responsive and knowledgeable, which is crucial for enterprises that require timely assistance.
- Reviewers mention that Pentaho Data Integration offers better no-code functionality, scoring 7.9, which appeals to users looking for a more accessible way to manage data without extensive coding knowledge. In contrast, IBM DataStage's no-code features are perceived as less comprehensive.
- Users report that both products have strong data migration capabilities, with both scoring 9.1. However, reviewers say that IBM DataStage's migration tools are particularly robust for large datasets, while Pentaho's tools are more user-friendly for smaller projects.
Pricing
Entry-Level Pricing
IBM DataStage
No pricing availablePentaho Data Integration
No pricing availableFree Trial
IBM DataStage
No trial information availablePentaho Data Integration
No trial information availableRatings
Meets Requirements
8.5
47
8.7
15
Ease of Use
8.0
49
8.6
15
Ease of Setup
7.2
30
8.0
9
Ease of Admin
7.0
29
8.6
7
Quality of Support
7.7
48
7.2
12
Has the product been a good partner in doing business?
7.7
29
8.6
6
Product Direction (% positive)
7.2
42
9.2
14
Features by Category
Management
7.3
11
8.7
5
7.7
10
9.0
5
Functionality
7.4
12
9.7
5
8.5
12
9.7
5
8.2
12
9.3
5
7.2
12
8.3
5
7.9
12
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
8.3
13
Not enough data
9.1
13
Not enough data
9.1
13
Not enough data
8.5
13
Not enough data
7.9
13
Not enough data
8.8
13
Not enough data
7.8
12
Not enough data
7.9
11
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
IBM DataStage and Pentaho Data Integration are categorized as Data Mapping, Big Data Integration Platforms, and ETL Tools
Unique Categories
IBM DataStage has no unique categories
Pentaho Data Integration is categorized as Cloud Migration, On-Premise Data Integration, and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
IBM DataStage
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
Banking
21.7%
Information Technology and Services
16.7%
Financial Services
11.7%
Computer Software
10.0%
Retail
6.7%
Other
33.3%
Information Technology and Services
35.3%
Telecommunications
11.8%
Banking
11.8%
Internet
5.9%
Information Services
5.9%
Other
29.4%
Alternatives
Discussions
How do I use the BDFS stage in Datastage?
1 Comment
RB
Hi Chanakyan
Please try to post your qu estion in this community to get quick answer from experts -...Read more
Can I possible to have free version of ibm Datastage in cloud based?
1 Comment
NS
Hello. You can try the lite version of IBM DataStage as a service for free here - https://cloud.ibm.com/catalog/services/datastageRead more
IBM DataStage has no more discussions with answers
Pentaho Data Integration has no discussions with answers
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