--- title: SAS Event Stream Processing Reviews meta_title: 'SAS Event Stream Processing Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter reviews by the users' company size, role or industry to find out how SAS Event Stream Processing works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 8 scale: '5' date_modified: '2026-07-17' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # SAS Event Stream Processing Reviews **Vendor:** SAS Institute Inc. **Category:** [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing) **Average Rating:** 4.1/5.0 **Total Reviews:** 8 ## About SAS Event Stream Processing SAS Event Stream Processing continuously ingests, processes and delivers insights on live data stream detecting patterns of interest, predictive results, and pattern detection. No stream of data is too big or too fast. SAS Event Stream Processing provides design-time programming interfaces for data scientists and graphical drag and drop interfaces for business analysts, a low-latency, high throughput run-time engine for exceptional processing speeds, as well as deployment and monitoring components for operational system support to quickly publish analytics into production environments. Whether data generated is machine-readable, human-readable or a combination of both, SAS Event Stream Processing scales to analyze millions of events per second (before it is persisted to a data store) – helping you decide what’s important to action, what can be ignored and what should be stored. So if response time counts, and action needs to be taken before the data is out-of-date (i.e. low latency), and/or when the data throughput volume requires decisions be made before the data is stored, SAS deciphers streaming data to generate alerts that need to be issued, pinpoint event relevance and urgency for action and delineate signals from the noise for further processing. For all types of users who support mission critical processes and digital transformation, SAS Event Stream Processing provides the ability to deploy streaming analytics solutions that are industry agnostic. ## SAS Event Stream Processing Pros & Cons **What users like:** - Users value the **high efficiency and speed** of SAS Event Stream Processing for real-time data handling and resource savings. (2 reviews) - Users admire the **high efficiency and speed** of SAS Event Stream Processing in handling real-time data seamlessly. (2 reviews) - Users value the **high computation speed** of SAS Event Stream Processing, enabling efficient data analytics and resource management. (1 reviews) - Users find SAS Event Stream Processing to be **intuitive and easy to use** , enhancing customer engagement effortlessly. (1 reviews) - Users value the **flexibility** of SAS Event Stream Processing, enabling easy integration and analysis of diverse data sources. (1 reviews) - Insights (1 reviews) - Users value the **intuitive integrations** of SAS Event Stream Processing, enhancing customer engagement and streamlining data management. (1 reviews) **What users dislike:** - Users find the **slow performance** of SAS Event Stream Processing frustrating, especially under heavy data loads and traffic. (3 reviews) - Users often face **data management issues** with SAS Event Stream Processing due to limited resources and slow performance under heavy data loads. (1 reviews) - Users experience **integration issues** with SAS Event Stream Processing, leading to frustrating delays, especially under heavy loads. (1 reviews) - Users report **limited availability** due to frequent infrastructure issues, impacting their overall experience with SAS Event Stream Processing. (1 reviews) - Users find the **limited community support** frustrating, as resources and feedback are scarce for troubleshooting issues. (1 reviews) - Users experience **stability issues** with SAS Event Stream Processing, including glitches and slowdowns during heavy server traffic. (1 reviews) ## SAS Event Stream Processing Reviews ### 1. Recommendation **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** May 06, 2025 **What do you like best about SAS Event Stream Processing?** We use it every day for better customer approach. It helps us engage customers in banking. Tool is easy to use and we are developing new integrations on our own as it is quite intuitive. **What do you dislike about SAS Event Stream Processing?** We are facing issues with infrastructure as it happens quite often than one leg is collapsing **What problems is SAS Event Stream Processing solving and how is that benefiting you?** it helps us in better customer reach ### 2. Optimizing production lines and preventing equipment failures **Rating:** 4.0/5.0 stars **Reviewed by:** Green M. | Project Strategy Director, Architecture & Planning, Mid-Market (51-1000 emp.) **Reviewed Date:** September 06, 2024 **What do you like best about SAS Event Stream Processing?** Real-time analysis of sensors has been beneficial to our industrial automation network edge computation. SAS ESP for Edge Computing means that we are able to make decisions practically in real-time based on the data flow. **What do you dislike about SAS Event Stream Processing?** There is a sense of the tools included in SAS ESP for Edge Computing having some limitations to their graphical capabilities. Due to the limited options of extended visualization, it is difficult to discover intricate relationships or trends in the data. **What problems is SAS Event Stream Processing solving and how is that benefiting you?** Before implementing SAS ESP for Edge Computing, we used to process sensor data at the central location which took a lot of time in decision making. Real time analysis of data at the edge will create a reaction that will enable an optimized process. ### 3. Fast live processing in a stable K8S enviroment **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Civil Engineering | Mid-Market (51-1000 emp.) **Reviewed Date:** September 13, 2023 **What do you like best about SAS Event Stream Processing?** Being able to live stream data to both database and app at te same time. This is very usefull in situations where speed is key like alarms, downtime of equipment and hazardous situations. **What do you dislike about SAS Event Stream Processing?** It is difficult to find the right resources and get started. Since the community is small there are very little forums or other community resources to fall back on. **What problems is SAS Event Stream Processing solving and how is that benefiting you?** Using livestream keeps the dataload down. running constantly means that there is no ETL proces that could hang or would need to restart. For live notifications ESP is also very useful. ### 4. SAS Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.) **Reviewed Date:** May 18, 2018 **What do you like best about SAS Event Stream Processing?** SAS is a great program for creating graphs and charts. It is a nice way to look at a lot of data and analyze it. **What do you dislike about SAS Event Stream Processing?** Occasionally there are glitches in the system, but most of the time it can be corrected. **What problems is SAS Event Stream Processing solving and how is that benefiting you?** For educational purposes, SAS has helped with work in research, statistics, and epidemiology data analysis. - [View SAS Event Stream Processing pricing details and edition comparison](https://www.g2.com/products/sas-event-stream-processing/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-10+01%3A54%3A12+-0500&secure%5Bsession_id%5D=276f971b-38bd-4fe2-b5e0-03368a0e7577&secure%5Btoken%5D=a93d923d1c69cfb339a1a8fb4eb1bea2a3923b70c10f025d9d72c7187143a01a&format=llm_user) ## SAS Event Stream Processing Features **Data** - Data Processing - Data Sources - Integration - Real-Time Processing **Analytics** - Reporting & Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management ## Top SAS Event Stream Processing Alternatives - [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews) - 4.3/5.0 (242 reviews) - [Tray.ai](https://www.g2.com/products/tray-ai/reviews) - 4.5/5.0 (153 reviews) - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - 4.5/5.0 (127 reviews)