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Compare IBM InfoSphere Information Server and SAS Data Management Software 
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At a Glance
Market Segments
Enterprise (90.9% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM InfoSphere Information Server
Star Rating
(23)4.1 out of 5
Market Segments
Enterprise (90.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM InfoSphere Information ServerSAS 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 ManagementIBM InfoSphere Information Server vs SAS Data Management
When assessing the two solutions, reviewers found SAS Data Management easier to use, set up, and administer. Reviewers also preferred doing business with SAS Data Management overall.
- Reviewers felt that IBM InfoSphere Information Server meets the needs of their business better than SAS Data Management.
- When comparing quality of ongoing product support, reviewers felt that SAS Data Management is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of SAS Data Management over IBM InfoSphere Information Server.
Pricing
Entry-Level Pricing
IBM InfoSphere Information Server
No pricing availableSAS Data Management
No pricing availableFree Trial
IBM InfoSphere Information Server
No trial information availableSAS Data Management
No trial information availableRatings
Meets Requirements
8.5
21
8.4
79
Ease of Use
7.2
19
7.3
80
Ease of Setup
7.2
13
8.5
27
Ease of Admin
7.3
13
8.3
20
Quality of Support
7.1
18
7.9
67
Has the product been a good partner in doing business?
7.9
12
8.1
21
Product Direction (% positive)
5.7
19
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
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
Not enough data
Not enough data
Integration
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
Performance
Not enough data
Not enough data
Security
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
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 InfoSphere Information Server and SAS Data Management are categorized as Data Quality
Unique Categories
IBM InfoSphere Information Server is categorized as On-Premise Data Integration and Data Warehouse
SAS Data Management is categorized as Big Data Integration Platforms, Data Governance, and Data Preparation
Reviews
Reviewers' Company Size
IBM InfoSphere Information Server
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
Financial Services
27.3%
Information Technology and Services
22.7%
Oil & Energy
9.1%
Utilities
4.5%
Medical Devices
4.5%
Other
31.8%
Higher Education
14.6%
Research
10.4%
Banking
8.3%
Information Technology and Services
7.3%
Hospital & Health Care
7.3%
Other
52.1%
Discussions
IBM InfoSphere Information Server has no discussions with answers
SAS Data Management has no discussions with answers
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