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- IBM Cloud Pak for Integration-vs-IBM DataStage
Compare IBM Cloud Pak for Integration and IBM DataStage 
At a Glance
Market Segments
Mid-Market (38.5% of reviews)
Enterprise (75.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM Cloud Pak for Integration
Star Rating
(50)4.2 out of 5
Market Segments
Mid-Market (38.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for IntegrationIBM DataStage
Star Rating
(69)4.0 out of 5
Market Segments
Enterprise (75.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about IBM DataStageSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM DataStage excels in data transformation capabilities, scoring 9.1, which reviewers mention is crucial for complex ETL processes, while IBM Cloud Pak for Integration, although strong, scores slightly lower at 8.6.
- Reviewers mention that IBM Cloud Pak for Integration shines in cloud-based messaging with a score of 8.7, making it a preferred choice for organizations looking for robust cloud integration solutions, whereas IBM DataStage's asynchronous messaging functionality scores 7.9.
- G2 users highlight that IBM DataStage offers superior data processing capabilities with a score of 8.6, which is essential for enterprises handling large volumes of data, while IBM Cloud Pak for Integration's data processing score is not specified but is generally perceived as less robust in this area.
- Users on G2 report that IBM Cloud Pak for Integration has a better score in API management at 8.3, which reviewers say is vital for organizations focusing on modern application integration, compared to IBM DataStage's lower performance in this category.
- Reviewers mention that IBM DataStage has a higher ease of use rating of 8.0, which users say makes it more accessible for teams without extensive technical expertise, while IBM Cloud Pak for Integration scores 7.5 in this area.
- Users say that IBM Cloud Pak for Integration's security standards score of 9.0 is a significant advantage, as it provides robust data protection features, while IBM DataStage's security features are not as highly rated, indicating a potential gap in security assurance.
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Pricing
Entry-Level Pricing
IBM Cloud Pak for Integration
No pricing availableIBM DataStage
No pricing availableFree Trial
IBM Cloud Pak for Integration
No trial information availableIBM DataStage
No trial information availableRatings
Meets Requirements
8.3
27
8.6
46
Ease of Use
7.5
27
8.0
47
Ease of Setup
6.8
15
7.4
28
Ease of Admin
7.1
14
7.1
28
Quality of Support
7.8
26
7.7
47
Has the product been a good partner in doing business?
7.3
14
7.8
28
Product Direction (% positive)
8.1
25
7.2
41
Features by Category
Data
8.6
7
Not enough data
8.3
7
Not enough data
9.2
6
Not enough data
8.1
7
Not enough data
Analytics
8.3
7
Not enough data
Functionality
7.9
7
Not enough data
7.9
7
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
Integration
8.6
6
Not enough data
8.9
6
Not enough data
7.8
6
Not enough data
Management
8.3
5
Not enough data
8.7
5
Not enough data
7.5
6
Not enough data
Management
Not enough data
7.3
10
Not enough data
7.8
9
Functionality
Not enough data
7.4
11
Not enough data
8.6
11
Not enough data
8.3
11
Not enough data
7.3
11
Not enough data
8.0
11
Functionality
Not enough data
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
Development
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
Not enough data
Management
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
Not enough data
Security
Not enough data
Not enough data
9.0
5
|
Verified
Not enough data
9.3
5
|
Verified
Not enough data
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
7.9
16
Not enough data
8.3
15
Not enough data
7.7
16
Not enough data
8.0
14
Not enough data
API Management
7.9
15
Not enough data
7.8
15
Not enough data
8.3
16
Not enough data
7.4
15
Not enough data
7.9
14
Not enough data
Data Integration
8.7
14
Not enough data
9.0
14
Not enough data
7.9
13
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 Cloud Pak for Integration and IBM DataStage are categorized as ETL Tools
Unique Categories
IBM Cloud Pak for Integration is categorized as Message Queue (MQ), Event Stream Processing, Enterprise Service Bus (ESB), iPaaS, and API Management
IBM DataStage is categorized as Data Mapping and Big Data Integration Platforms
Reviews
Reviewers' Company Size
IBM Cloud Pak for Integration
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM DataStage
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
17.9%
Computer Software
15.4%
Insurance
12.8%
Banking
12.8%
Education Management
10.3%
Other
30.8%
Banking
20.7%
Information Technology and Services
17.2%
Financial Services
12.1%
Computer Software
10.3%
Retail
6.9%
Other
32.8%
Most Helpful Reviews
IBM Cloud Pak for Integration
Most Helpful Favorable Review
Verified User in Banking
Run your integration anywhere is one of the key concept got my attention
Most Helpful Critical Review
Verified User in Banking
If you deploy it to Openshift, some capabilities are redundant.
IBM DataStage
Most Helpful Favorable Review
Verified User in Banking
Scalability of Datastage is amazing . It also runs fairly well in all platforms .
Most Helpful Critical Review
Verified User in Education Management
I find it difficult to do impact analysis on existing jobs. Being used to seeing code, I don't like the interface where you have to navigate a graphical representation of the job to review the underlying code. Also, I encounter a lot of connection issues...
Verified User in Banking
Run your integration anywhere is one of the key concept got my attention
Verified User in Banking
Scalability of Datastage is amazing . It also runs fairly well in all platforms .
Verified User in Banking
If you deploy it to Openshift, some capabilities are redundant.
Verified User in Education Management
I find it difficult to do impact analysis on existing jobs. Being used to seeing code, I don't like the interface where you have to navigate a graphical representation of the job to review the underlying code. Also, I encounter a lot of connection issues...
Alternatives
Discussions
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
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
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