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Compare Azure Data Factory and IBM Cloud Pak for Integration 
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At a Glance
Market Segments
Enterprise (63.0% of reviews)
Mid-Market (36.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactoryIBM Cloud Pak for Integration
Star Rating
(49)4.2 out of 5
Market Segments
Mid-Market (36.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for IntegrationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Azure Data Factory excels in its real-time integration capabilities, scoring a remarkable 9.6, while IBM Cloud Pak for Integration lags behind at 7.9. Reviewers mention that Azure's ability to handle real-time data streams is a significant advantage for businesses needing immediate insights.
- Reviewers mention that Azure Data Factory's extraction, transformation, and loading (ETL) processes are highly rated, with scores of 9.1, 9.3, and 9.4 respectively. In contrast, IBM Cloud Pak for Integration does not match these scores, indicating that Azure provides a more robust ETL experience, which is crucial for data-driven decision-making.
- Users on G2 highlight Azure Data Factory's superior integration capabilities with a score of 9.2, compared to IBM's 8.6. Reviewers say that Azure's extensive library of pre-built connectors simplifies the integration process, making it easier to connect various data sources.
- G2 users report that Azure Data Factory offers a more user-friendly experience, with an ease of use score of 9.0, while IBM Cloud Pak for Integration scores only 7.5. Reviewers mention that Azure's intuitive interface and streamlined setup process significantly reduce the learning curve for new users.
- Reviewers mention that Azure Data Factory's automation features are highly effective, scoring 9.2, which allows for seamless data workflows. In comparison, IBM Cloud Pak for Integration's automation capabilities are less robust, leading to potential inefficiencies in data handling.
- Users say that Azure Data Factory's quality of support is commendable, with a score of 8.8, while IBM Cloud Pak for Integration's support is rated lower at 7.8. Reviewers report that Azure's responsive customer service and comprehensive documentation enhance the overall user experience.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing availableIBM Cloud Pak for Integration
No pricing availableFree Trial
Azure Data Factory
No trial information availableIBM Cloud Pak for Integration
No trial information availableRatings
Meets Requirements
9.2
65
8.2
26
Ease of Use
8.9
66
7.4
26
Ease of Setup
9.2
31
6.8
15
Ease of Admin
8.6
23
7.1
14
Quality of Support
8.8
60
7.7
25
Has the product been a good partner in doing business?
9.3
22
7.3
14
Product Direction (% positive)
9.8
61
8.1
24
Features by Category
Data
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
9.2
6
Not enough data
8.1
7
Analytics
Not enough data
8.3
7
Functionality
Not enough data
7.9
7
Not enough data
7.9
7
Not enough data
8.7
5
Not enough data
Not enough data
Integration
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
7.8
6
Management
Not enough data
8.3
5
Not enough data
8.7
5
Not enough data
7.5
6
Agentic AI - Message Queue (MQ)
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
8.4
45
Not enough data
8.4
44
Not enough data
Functionality
9.1
47
Not enough data
9.1
47
Not enough data
9.3
44
Not enough data
9.1
47
Not enough data
9.1
45
Not enough data
Development
Not enough data
7.9
7
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
Management
Not enough data
7.7
5
|
Verified
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
Not enough data
9.0
5
|
Verified
Not enough data
9.3
5
|
Verified
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
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
API Construction
Not enough data
7.8
15
Not enough data
8.2
14
Not enough data
7.6
15
Not enough data
7.8
13
API Management
Not enough data
7.7
14
Not enough data
7.6
14
Not enough data
8.2
15
Not enough data
7.3
14
Not enough data
7.7
13
Data Integration
Not enough data
8.6
13
Not enough data
9.0
13
Not enough data
7.8
12
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 IBM Cloud Pak for Integration are categorized as ETL Tools
Unique Categories
Azure Data Factory is categorized as Big Data Integration Platforms
IBM Cloud Pak for Integration is categorized as Message Queue (MQ), Event Stream Processing, Enterprise Service Bus (ESB), iPaaS, and API Management
Reviews
Reviewers' Company Size
Azure Data Factory
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Cloud Pak for 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
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
Information Technology and Services
18.4%
Computer Software
15.8%
Insurance
13.2%
Banking
13.2%
Education Management
10.5%
Other
28.9%
Alternatives
Discussions
Is Azure data Factory an ETL tool?
2 Comments
AG
yesRead more
Azure Data Factory has no more discussions with answers
how much time does it take to become an expert in this technology
1 Comment
DJ
Mostly a month or two if you have knowledge of Rest API, Queues etc. as concept.Read more
IBM Cloud Pak for Integration has no more discussions with answers
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