What is SAS Event Stream Processing?
SAS Event Stream Processing delivers real-time event streaming analytics to detect patterns, uncover insights and act instantly on streaming data from IoT devices, sensors and transactions. With AI-powered, low-latency analytics, you can analyze millions of events per second across edge, cloud or on-premises environments.
How SAS Event Stream Processing works
-
Governed & flexible dataflow design
Connect, clean and analyze streaming data from operations, transactions, sensors and IoT devices – all within a single environment. Use low-code tools or custom logic to build dataflows, combine AI and analytics, detect patterns and act instantly. Everything is controlled through one intuitive interface.
-
High-speed analytics across edge & cloud
Process millions of events per second with low latency. Analyze structured and unstructured data – text, images, video or audio – using built-in AI and machine learning. Manage and deploy streaming analytics seamlessly with SAS Event Stream Manager for rapid, reliable decision making.
-
Real-time visualization in Grafana
The SAS Event Stream Processing data source plug-in for Grafana enables real-time streaming data discovery and visualization from event stream processing servers. Monitor operational metrics or complex event patterns directly in Grafana dashboards to speed insights and improve responsiveness.
-
Portable, containerized event processing
Deploy lightweight, self-contained containers that run anywhere – from edge to cloud. Containers simplify scaling, accelerate deployment and maintain consistent performance for streaming analytics projects.
-
Autoscaling for large-scale streaming analytics
The distributed, in-memory architecture of SAS Event Stream Processing enables horizontal scaling on commodity hardware. Process millions of events per second while maintaining low latency and high performance. Expand across edge, cloud and enterprise environments without disruption.
-
Version control for safe iteration
Maintain versions of streaming logic, models and configurations via Git. Test, iterate and roll back safely without affecting live operations. Collaborate seamlessly across development and production environments while preserving governance.
-
Custom & reusable streaming windows
Create custom streaming windows using Python or Lua. Reuse existing windows across projects or share them with the SAS community to streamline development and accelerate insights.
How organizations use event streaming analytics to make real-time decisions
Analyst & user accolades for SAS Event Stream Processing
-
Helps make fast decisions
My experience with SAS Event Stream Processing has been nice as this application is very useful for handling real time data and helps make fast decisions." Application Developer (anonymous review)
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
-
High performance & cloud integration
SAS ESP Provides Real-Time Analytics With High Performance and Cloud Integration." Solution Architect (anonymous review)
Source: Gartner Peer Insights, June 2025
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
-
Reliable data integration
The product is an open source platform for building real-time streaming data pipelines and applications. It is a scalable solution and also easy to use. The product ensures reliable data integration across all private and public networks. Pricing of the software is affordable to all sizes of businesses." Administrative Director (anonymous review)
Source: Gartner Peer Insights, June 2025
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
-
Depth & breadth, but also online & offline analytics
SAS’ strategy for streaming data is to offer the greatest number of analytics that can be executed in real-time data streams.”
Source: The Forrester Wave™: Streaming Data Platforms, Q4 2023
-
Integration with complimentary technologies
SAS Event Stream Processing is offered as part of SAS’ larger SAS Viya platform and thus seamlessly integrated with all other Viya capabilities including world-class analytics, AI and business intelligence.”
Source: The Forrester Wave™: Streaming Data Platforms, Q4 2023
-
Differentiated analytical capabilities
No other vendor comes close to SAS in offering advanced analytics that can be executed in real time including real-time machine learning techniques.”
Source: The Forrester Wave™: Streaming Data Platforms, Q4 2023
-
SAS provides everything needed to succeed when speed is important
SAS offers strengths in streaming analytics, developer and analytics tools, and low latency.”
Source: The Forrester Wave™: Streaming Data Platforms, Q4 2023
-
Multimarket focus
SAS is a good fit for customers that need extremely low latency combined with complex analytics such as industrial, manufacturing and financial use cases.”
Source: The Forrester Wave™: Streaming Data Platforms, Q4 2023
Key features
Uncover insights at the edge and make real-time, intelligent decisions in the cloud using machine learning and streaming analytics.
Built for speed
Process large volumes of data. Handle millions of events per second with low latency, while supporting GPU acceleration.
Seamless integration
Consume today’s leading data sources in the cloud or at the edge, enabled by a comprehensive catalog of diverse prebuilt connectors and adapters.
Intuitive design environment
Easily build and test your models in a user-friendly, low-code environment to validate your project. Manage versions and promote projects to production with a streamlined workflow.
Instant insights, faster response
Empower your decisions with real-time alerts, tailored notifications and proactive updates, ensuring you're always one step ahead.
Analytics anywhere
Enhance your data streams with advanced analytical techniques and machine learning, available from the edge to the cloud.
Unified management & monitoring
Optimize your projects with status reporting, direct access to log files, built-in auditing, utilization tracking, real-time performance monitoring and intelligent resource management.
Native cloud support
Compatible with cloud technologies, utilizing Docker and Kubernetes for large-scale, elastic, distributed services.
Streaming fault tolerance
SAS patented 1+N-Way Failover system offers uninterrupted, secure and reliable service without data storage needs.
Simplified computer vision
Perform inference on video and still image data using streaming analytics for preprocessing, object detection and classification, supported by SAS and third-party machine learning frameworks.
Custom windows
Design new windows, reuse them across projects and share them with others to boost efficiency.
Get to know SAS Event Stream Processing
SAS Viya est une solution cloud-native et cloud-agnostic.
Consommez SAS comme vous l'entendez - SAS managed ou autogéré. Et où vous voulez.
Recommended resources for SAS Event Stream Processing
To browse resources by type, select an option below.
-
- Select resource type
- ARTICLE
- BLOG POST
- Description de la solution
- Dossier partenaire
- Ebook
- ÉTUDE DE CAS
- Extrait du livre
- Infographie
- Infographie
- Interview
- Livre blanc
- Présentation de la solution
- RAPPORT D'ANALYSTE
- Recherche
- Série
- Solution Brief
- Témoignage client
- Vidéo
- Webinaire
-
Témoignage client
One airport operator is making every journey personal for passengers -
Témoignage client
Leading cruise line personalizes passengers’ onboard experience in real time -
Témoignage client
Managing Dutch roads and waterways with intelligence -
RAPPORT D'ANALYSTE
Advanced AI-Powered Energy Forecasting -
Témoignage client
Transforming steelmaking through IoT analytics -
Description de la solution
Analyze streaming data from edge to enterprise to make intelligent decisions in real time -
Solution Brief
Improve manufacturing quality -
Solution Brief
Making the unpredictable, predictable: Using AI and streaming analytics to prevent flood damage and predict flooding patterns -
Livre blanc
Drive Next-Generation Performance With Real-Time Connected Manufacturing -
Livre blanc
Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility Services -
Ebook
The Streaming Analytics Scaries: What they are and how to get over them -
RAPPORT D'ANALYSTE
ARC View: Industrial-grade AI: Transforming Data into Insights and Outcomes -
Ebook
Rising Waters and Rapid Responses -
Webinaire
Real-Time Predictive Analytics: Uncovering Opportunities and Barriers at the Speed of Data Flow -
Webinaire
How AI is Powering Accurate, Scalable Load and Generation Forecasting -
BLOG POST
A conversation with Rijkswaterstaat: How SAS is helping keep the Netherlands safe -
ARTICLE
Real-Time Customer Recommendation Systems for Data in Motion -
Dossier partenaire
Streaming Analytics and Internet of Things -
ARTICLE
Understanding data in motion -
ARTICLE
Sensing a disturbance in the data -
ARTICLE
Making sense of streaming data in the Internet of Things -
Témoignage client
Empowering customers to choose more efficient energy consumption -
Témoignage client
World’s largest sports and humanitarian event builds legacy of inclusion with data-driven technology -
ARTICLE
Streaming data: The ins and outs of this technology buzzword -
ARTICLE
The opportunity of smart grid analytics -
ARTICLE
Three C’s of the connected customer in the IoT -
Témoignage client
Témoignage client
IoT data with artificial intelligence reduces downtime, helps truckers keep on trucking -
Livre blanc
Using Hybrid Cloud Capabilities for True Omnichannel Marketing -
Livre blanc
Channeling Streaming Data for Competitive Advantage -
ARTICLE
Components of an information management strategy -
Livre blanc
The Artificial Intelligence of Things -
Livre blanc
Securing Your IoT Solution Stack -
Livre blanc
TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoT -
Livre blanc
The Autonomous Grid in the Age of the Artificial Intelligence of Things -
Livre blanc
Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics -
Ebook
The Future of Energy & Utilities: Transform Through Innovation -
Livre blanc
The Energy Transition and Forecasting The Next Decade -
Présentation de la solution
SAS Analytics for IoT -
Présentation de la solution
SAS Event Stream Manager -
ARTICLE
IoT in health care: Unlocking true, value-based care -
ARTICLE
How openness can supercharge event stream analytics -
Témoignage client
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
RAPPORT D'ANALYSTE
SAS: Providing a Comprehensive Approach to the IoT Analytics Life Cycle -
Témoignage client
Au Cameroun, l’électricité se convertit à l’analytique -
ARTICLE
The future of IoT: On the edge -
ARTICLE
3 things you need to know about event stream processing -
ARTICLE
Load Forecasting: Ensuring supply meets energy demand -
Témoignage client
Forecasting accuracy brings ‘new energy’ to Cameroon -
ARTICLE
5 ways to measure beehive health with analytics and hive-streaming data -
ARTICLE
Coming soon: The Industrial Internet and IoT standards -
Témoignage client
Artificial intelligence and IoT analytics keep aircraft operational for crucial missions -
Témoignage client
Electric cooperative sharpens forecasts, reduces energy costs
Related products & solutions
- Supervisez, gérez et suivez de vastes groupes de serveurs SAS Event Stream Processing grâce à un processus reproductible, automatisé et traçable.
- Easily create, manage and govern robust, analytically driven business rules to power decisioning at scale.
- Simplify the creation and management of your model collection with a web-based interface that easily automates the model management process.
- Découvrez et explorez les relations entre les données et partagez vos observations.
- Favorisez l'innovation, l'efficacité et les résultats en mettant à la disposition des utilisateurs de puissantes analyses IoT avec IA intégrée ainsi que des capacités de streaming à la pointe du secteur.
- Bénéficiez d'une intégration plus rapide des données, d'un développement efficace des modèles et d'une réduction des coûts liés au cloud.
SAS Event Stream Processing frequently asked questions
What is SAS Event Stream Processing?
SAS Event Stream Processing is a real-time streaming analytics solution that enables organizations to capture, analyze and act on streaming data from any source. It uses AI and machine learning to identify patterns and support instant, data-driven decisions.
How does SAS Event Stream Processing handle large volumes of data?
SAS Event Stream Processing processes millions of events per second with low latency through a distributed, in-memory architecture that scales horizontally and supports GPU acceleration.
Can SAS Event Stream Processing run in the cloud or on the edge?
Yes. SAS Event Stream Processing runs anywhere – from edge devices to public or private clouds – using containerized, cloud-native deployment with Docker and Kubernetes.
What types of data can SAS Event Stream Processing analyze?
SAS Event Stream Processing supports both structured and unstructured data, including text, video, images and audio, allowing comprehensive analysis across diverse data streams.
How does SAS Event Stream Processing support AI and machine learning?
SAS Event Stream Processing integrates built-in AI and machine learning capabilities for real-time pattern detection, anomaly detection and predictive insights, enabling automated decision making.
What makes SAS Event Stream Processing different from other streaming platforms?
SAS Event Stream Processing combines low-latency stream processing with advanced analytics, version control, governance and visualization in one unified environment, supported by the SAS Viya platform.