SAS^® Event Stream Processing

Analyze streaming data, uncover hidden insights with AI and make real-time, intelligent decisions in the environment of your choice

SAS Event Stream Processing

Seize opportunities and spot red flags hidden in torrents of fast-moving data flowing through your business using event streaming analytics.

Use machine learning to gain insights for taking the right action

Streaming data from operations, transactions, sensors and IoT devices is valuable – when it's well-understood. Event stream processing from SAS includes streaming data quality and analytics – and a vast array of SAS and open source machine learning and high-frequency analytics for connecting, deciphering, cleansing and understanding streaming data – in one solution. No matter how fast your data moves, how much data you have, or how many data sources you’re pulling from, it’s all under your control via a single, intuitive interface. You can define patterns and address scenarios from all aspects of your business, giving you the power to stay agile and tackle issues as they arise.
Make sound big data decisions

Filter, normalize, categorize, aggregate, standardize and cleanse big data before you store it – saving significant staff and computing resources from having to clean up data lakes. Prebuilt data quality routines and text processing execution are applied to data in motion so big data is filtered and ready for consumption.
Scale economically from edge to cloud for growing data volumes

Faster, better, more powerful stream processing from edge to enterprise for high-volume throughput (millions of events per second) means low-latency response times running in distributed, in-memory grid processing commodity hardware environments. Analyze structured and unstructured data sources – including video, text, and image classification and identification – using advanced analytics with embedded AI and machine learning capabilities. In addition, SAS Event Stream Manager integrates SAS Event Stream Processing studio and server components, simplifying and automating the deployment of SAS Event Stream Processing projects and analytics for rapid decision making – with no disruption to service.

Organizations of all sizes are working smarter with SAS Event Stream Processing

Increasing campaign engagement by 280%

Norwegian Cruise Line Holdings is using SAS to transform onboard experiences for passengers with prompt, personalized communications.

Read the story Read the Norwegian Cruise Line customer story
Optimizing the supply chain with analytics and IoT

SAS is helping Georgia-Pacific improve equipment efficiency, reduce downtime, optimize shipping logistics and predict customer churn.

Read the story

Read the blog
Rijkswaterstaat

Managing Dutch roads and waterways with intelligence

Rijkswaterstaat moved from reactive to predictive infrastructure maintenance – with real-time insights on traffic, tunnels, bridges, floodgates and locks – using a modern AI, IoT and analytics platform powered by SAS Viya.

Read the story
Keeping aircraft mission-ready with IoT and machine learning

Lockheed Martin uses analytics and AI from SAS to transform aircraft maintenance and fleet management.

Read the story

See how others are using SAS

Analyst & user accolades for SAS Event Stream Processing

Surprising speed & precision

The most notable feature of this product is its real-time advanced capabilities. We were able to process and analyze streaming data from diverse sources with surprising speed and precision."

Source: SAS Event Stream Processing review in Event Stream Processing (gartner.com)

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.
A powerful & adaptable tool

My overall impression of the product has been positive. As a user, I've discovered it to be a powerful and adaptable tool for real-time data analytics and processing."

Source: SAS Event Stream Processing review in Event Stream Processing (gartner.com)

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.
Valuable partnership

SAS is a true partner with us on our quest to deliver value to our manufacturing sites.”

Source: SAS Event Stream Processing review in Event Stream Processing (gartner.com)

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.
Real-time streaming data & robust modeling tools

Real time delivery and scoring of manufacturing streaming data. Rich tools to build in memory data models to score not only current values but look back to prior values. Read and write to wide variety of publishers and consumers of data streams.”

Source: SAS Event Stream Processing review in Event Stream Processing (gartner.com)

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’s 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’s larger SAS Viya platform and thus seamlessly integrated will 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.

Enablement & support

Access SAS code examples, libraries and tools on Git, and connect with other users in our SAS communities for collaboration and support.

Visit GitHub

Custom windows

Design new windows, reuse them across projects and share them with others to boost efficiency.

View detailed features list

Get to know SAS Event Stream Processing

Meet our featured partners

Wabtec, Intel & SAS

Wabtec, Intel and SAS are partnering to transform raw data into real-time business insight with IoT connected transportation – and unlock new levels of operational efficiency.

Learn more about the Wabtec, Intel & SAS partnership [PDF]