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SAS Event Stream Processing Reviews

Vendor: SAS
4.0 out of 5
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What is SAS Event Stream Processing?

Artificial intelligence and machine learning are the most transformative technologies of our time, and SAS is more committed than ever to investing in its potential to move humanity forward.

Get the Streaming Analytics Buyer's Guide and find out what your peers are saying about SAS Event Stream Processing, Apache Kafka, Apache Flink and more!
SAS Event Stream Processing is the #26 ranked solution in Streaming Analytics tools. PeerSpot users give SAS Event Stream Processing an average rating of 8.0 out of 10. SAS Event Stream Processing is most commonly compared to Apache Kafka: SAS Event Stream Processing vs Apache Kafka.
Buyer's Guide
Streaming Analytics
February 2026
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Helped 885,264 peers since 2012

SAS Event Stream Processing mindshare

As of March 2026, the mindshare of SAS Event Stream Processing in the Streaming Analytics category stands at 0.9%, up from 0.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
SAS Event Stream Processing0.9%
Apache Flink10.9%
Databricks9.0%
Other79.2%
Streaming Analytics
 
 
Key learnings from peers
Last updated Mar 27, 2026

Valuable Features

  • "The solution is beneficial on an enterprise level."
  • "The solution is beneficial on an enterprise level."

Room for Improvement

  • "The persistence could be better."
  • "The persistence could be better."
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Streaming Analytics Buyer's Guide for additional reliable information.

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SAS Event Stream Processing customers

Honda, HSBC, Lufthansa, Nestle, 89Degrees.

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Popular Comparisons

Popular Comparisons
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Apache Kafka vs SAS Event Stream Processing
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SAS Event Stream Processing Reviews Summary
Author infoRatingReview Summary
Lead Technical Consultant at Thakral One4.0I found this solution stable and highly scalable with valuable windowing features for real-time operations. However, its persistence needs improvement, and customer service can be slow. I rated it 8/10.