EVAM Event Stream Processing (ESP) Platform vs SAS Event Stream Processing comparison

EVAM and SAS are both solutions in the Streaming Analytics category. EVAM is ranked #35, while SAS is ranked #26. EVAM holds a 0.6% mindshare in SA, compared to SAS’s 0.9% mindshare. Additionally, 100% of SAS users are willing to recommend the solution.

EVAM Event Stream Processin...

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SAS Event Stream Processing

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100% willing to recommend

EVAM Event Stream Processin...

SAS Event Stream Processing

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between EVAM Event Stream Processing (ESP) Platform and SAS Event Stream Processing based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics.

To learn more, read our detailed Streaming Analytics Report (Updated: March 2026).

Buyer's Guide

Streaming Analytics

March 2026

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Helped 885,789 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

EVAM Event Stream Processin...

Ranking in Streaming Analytics

35th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Event Stream Processing

Ranking in Streaming Analytics

26th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Streaming Analytics category, the mindshare of EVAM Event Stream Processing (ESP) Platform is 0.6%, up from 0.2% compared to the previous year. The mindshare of SAS Event Stream Processing is 0.9%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
SAS Event Stream Processing	0.9%
EVAM Event Stream Processing (ESP) Platform	0.6%
Other	98.5%

Streaming Analytics

Featured Reviews

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Roi Jason Buela

Lead Technical Consultant at Thakral One

A solution with useful windowing features and great for operations and marketing

The persistence could be better. Although ESP is designed for in-memory processing, it would be better if the solution is enhanced or improved on the persistence of the data that is kept in the memory. For example, if one server goes down and the information is stored in the memory, it is lost. Therefore, the persistence needs to be improved so that if there are more cases where the server is down, the information and data can still be intact.

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Comparisons

Apache Spark Streaming vs EVAM Event Stream Processing (ESP) Platform

Compared 53% of the time

Apache Flink vs EVAM Event Stream Processing (ESP) Platform

Compared 47% of the time

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Apache Spark Streaming vs SAS Event Stream Processing

Compared 37% of the time

Apache Kafka vs SAS Event Stream Processing

Compared 33% of the time

Apache Flink vs SAS Event Stream Processing

Compared 30% of the time

More SAS Event Stream Processing Competitors

Product Reports

Buyer's Guide

Streaming Analytics

March 2026

EVAM Event Stream Processing (ESP) Platform report

Download EVAM Event Stream Processing (ESP) Platform product report

Buyer's Guide

Streaming Analytics

March 2026

Download SAS Event Stream Processing product report

Overview

EVAM is a real-time Event Stream Processing (ESP) Platform having real-time data integration and streaming advanced analytics with Machine Learning/AI and Microservice enabled capabilities.

EVAM

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.

SAS

Sample Customers

Honda, HSBC, Lufthansa, Nestle, 89Degrees.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics. Updated: March 2026.

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885,789 professionals have used our research since 2012.

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We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.