Compare IBM DataStage and SAS Data Management Software 
At a Glance
Market Segments
Enterprise (72.1% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM 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 DataStageSAS Data Management
Star Rating
(99)4.1 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS Data ManagementSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SAS Data Management excels in simplifying complex ETL tasks, thanks to its visual interface and automation capabilities. Users appreciate how it integrates smoothly with other SAS tools, making it a strong choice for organizations already invested in the SAS ecosystem.
- Users say that IBM DataStage stands out for its speed and responsiveness, which is crucial for ETL processing. Reviewers highlight its variety of stages for implementing designs and testing at runtime, making it a versatile tool for data integration.
- According to verified reviews, SAS Data Management is praised for its user-friendly design, requiring little to no coding knowledge. This accessibility allows a broader range of users to manage large volumes of data efficiently, which is a significant advantage for teams with varying technical skills.
- Reviewers mention that while IBM DataStage is user-friendly, it also offers additional features that aid in debugging and troubleshooting, which can enhance the overall ETL process. This makes it a solid option for users who need more advanced capabilities.
- G2 reviewers highlight that SAS Data Management has a higher overall satisfaction score, reflecting its strong performance in areas like quality of support and ease of setup. Users appreciate the quick implementation process, which is often facilitated by an intuitive onboarding wizard.
- Users note that while IBM DataStage is cost-effective, SAS Data Management's robust feature set and integration capabilities may justify its higher price point for enterprises looking for comprehensive data management solutions.
Pricing
Entry-Level Pricing
IBM DataStage
No pricing availableSAS Data Management
No pricing availableFree Trial
IBM DataStage
No trial information availableSAS Data Management
No trial information availableRatings
Meets Requirements
8.5
48
8.4
79
Ease of Use
8.0
50
7.3
80
Ease of Setup
7.3
31
8.5
27
Ease of Admin
7.1
30
8.3
20
Quality of Support
7.7
49
7.9
67
Has the product been a good partner in doing business?
7.7
30
8.1
21
Product Direction (% positive)
7.3
43
7.0
77
Features by Category
Data Source Access
Not enough data
9.4
8
Not enough data
9.8
8
Not enough data
9.8
8
Data Interaction
Not enough data
9.6
8
Not enough data
9.4
8
Not enough data
9.5
7
Not enough data
9.6
8
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.6
8
Not enough data
9.6
8
Data Exporting
Not enough data
9.3
7
Not enough data
9.0
7
Not enough data
9.8
8
Generative AI
Not enough data
Not enough data
Administration
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
Not enough data
Not enough data
Compliance
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
Not enough data
Not enough data
Not enough data
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
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
7.3
11
Not enough data
7.7
10
Not enough data
Functionality
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
Not enough data
Functionality
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
Not enough data
Functionality
Not enough data
8.8
12
Not enough data
7.4
13
Not enough data
8.8
12
Not enough data
8.3
12
Not enough data
8.7
13
Management
Not enough data
8.2
13
Not enough data
8.2
13
Not enough data
8.3
13
Not enough data
7.7
13
Not enough data
7.4
13
Generative AI
Not enough data
7.6
9
Not enough data
7.4
9
Categories
Categories
Shared Categories
IBM DataStage and SAS Data Management are categorized as Big Data Integration Platforms
Reviews
Reviewers' Company Size
IBM DataStage
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Data Management
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
21.3%
Information Technology and Services
18.0%
Financial Services
11.5%
Computer Software
9.8%
Retail
6.6%
Other
32.8%
Higher Education
14.6%
Research
10.4%
Banking
8.3%
Hospital & Health Care
7.3%
Information Technology and Services
7.3%
Other
52.1%
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
SAS Data Management has no discussions with answers
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