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SAS Access Reviews

Vendor: SAS
4.5 out of 5

What is SAS Access?

Featured SAS Access reviews

SAS Access mindshare

As of April 2026, the mindshare of SAS Access in the Data Integration category stands at 0.7%, up from 0.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SAS Access0.7%
SSIS3.6%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other92.1%
Data Integration
 
 
Key learnings from peers
Last updated Mar 27, 2026

Valuable Features

Room for Improvement

Pricing

Top industries

By visitors reading reviews
Financial Services Firm
15%
Construction Company
15%
Manufacturing Company
8%
Computer Software Company
7%
Healthcare Company
7%
Real Estate/Law Firm
5%
Government
5%
Comms Service Provider
4%
Energy/Utilities Company
4%
Educational Organization
4%
Wholesaler/Distributor
4%
Performing Arts
3%
Retailer
3%
Hospitality Company
3%
Insurance Company
3%
University
3%
Consumer Goods Company
1%
Aerospace/Defense Firm
1%
Mining And Metals Company
1%
Outsourcing Company
1%
Logistics Company
1%
Recreational Facilities/Services Company
1%
 
SAS Access Reviews Summary
Author infoRatingReview Summary
Co Owner at Hecht und Heck GmbH4.0I value this solution's native access to external databases, finding it stable and scalable with excellent support. While expensive and needing faster updates for newer databases, I recommend this reliable solution, rating it 8/10.
Developer at a insurance company with 501-1,000 employees4.5I've used this stable, reliable database connector for 19 years. Its ease of data access is valuable, meeting all my needs with no improvements required. I rate it 9/10 as a helpful, essential tool.
Data Architect at a tech services company with 201-500 employees5.0I find SAS/ACCESS excellent for efficiently connecting diverse databases, promoting self-service, and saving significant man-hours. It is stable with superb support. My main criticism is its expensive, per-platform pricing model, which needs adjustment, despite its high value and unmatched utility.