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Compare IBM Cloud Pak for Integration and IBM DataStage 
Featured Products
At a Glance
Market Segments
Mid-Market (36.8% of reviews)
Enterprise (72.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM 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 IntegrationIBM DataStage
Star Rating
(72)4.0 out of 5
Market Segments
Enterprise (72.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM DataStageIBM Cloud Pak for Integration vs IBM DataStage
When assessing the two solutions, reviewers found IBM DataStage easier to use and set up. Reviewers also felt that IBM DataStage was easier to do business with overall. However, reviewers felt that administration of both products was equally easy.
- Reviewers felt that IBM DataStage meets the needs of their business better than IBM Cloud Pak for Integration.
- When comparing quality of ongoing product support, IBM Cloud Pak for Integration and IBM DataStage provide similar levels of assistance.
- For feature updates and roadmaps, our reviewers preferred the direction of IBM Cloud Pak for Integration over IBM DataStage.
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
8.2
26
8.5
48
Ease of Use
7.4
26
8.0
50
Ease of Setup
6.8
15
7.3
31
Ease of Admin
7.1
14
7.1
30
Quality of Support
7.7
25
7.7
49
Has the product been a good partner in doing business?
7.3
14
7.7
30
Product Direction (% positive)
8.1
24
7.3
43
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
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
Not enough data
7.3
11
Not enough data
7.7
10
Functionality
Not enough data
7.6
13
Not enough data
8.6
13
Not enough data
8.3
13
Not enough data
7.4
13
Not enough data
7.9
12
Functionality
Not enough data
8.5
14
Not enough data
9.2
14
Not enough data
9.2
14
Not enough data
8.6
14
Not enough data
7.9
13
Not enough data
8.9
14
Not enough data
7.9
13
Not enough data
8.1
12
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
7.8
15
Not enough data
8.2
14
Not enough data
7.6
15
Not enough data
7.8
13
Not enough data
API Management
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
Not enough data
Data Integration
8.6
13
Not enough data
9.0
13
Not enough data
7.8
12
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
18.4%
Computer Software
15.8%
Insurance
13.2%
Banking
13.2%
Education Management
10.5%
Other
28.9%
Banking
21.3%
Information Technology and Services
18.0%
Financial Services
11.5%
Computer Software
9.8%
Retail
6.6%
Other
32.8%
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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