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
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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.
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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.
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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.
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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.
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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.
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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.
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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 recognition for SAS Event Stream Processing
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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.
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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.
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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.
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The Forrester Wave™: Streaming Data Platforms, Q4 2025
Customers appreciate SAS’ streaming platform for its advanced real-time analytics and seamless integration with enterprise data."
Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.
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The Forrester Wave™: Streaming Data Platforms, Q4 2025
SAS is a great fit for enterprises that need to perform analytics on streaming data or deploy streaming analytics on cloud, on-premises, and/or edge devices."
Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.
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The Forrester Wave™: Streaming Data Platforms, Q4 2025
Its focus on advanced analytics and integration with enterprise ecosystems encourages adoption among organizations that want rapid insights from streaming data."
Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester’s objectivity here.
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.
Model Context Protocol (MCP)
Create your own MCP tools. Give LLMs access to real-time data streams and trusted AI.
Get to know SAS Event Stream Processing
SAS Viya is cloud-native and cloud-agnostic
Consume SAS how you want – SAS managed or self-managed. And where you want.
Recommended resources for SAS Event Stream Processing
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How openness can supercharge event stream analytics -
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Empowering customers to choose more efficient energy consumption -
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Streaming Analytics and Internet of Things
Related products & solutions
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- Drive innovation, efficiencies and results by putting IoT analytics in users' hands – from predictive maintenance at scale to superior process optimization and quality, flood prediction and preparedness, energy cost optimization and beyond.
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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.