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.
Analyst & user accolades for SAS Event Stream Processing
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.
Get to know SAS Event Stream Processing
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- E-BOOK The Streaming Analytics Scaries: What they are and how to get over them
- Analyst Report ARC View: Industrial-grade AI: Transforming Data into Insights and Outcomes
- CUSTOMER STORY Leading cruise line personalizes passengers’ onboard experience in real time
- Infografik Streaming AI for improved decision making
- Analyst Report SAS named a Challenger in Gartner® Magic Quadrant™ for Augmented Data Quality Solutions
- E-BOOK Rising Waters and Rapid Responses
- Article Real-Time Customer Recommendation Systems for Data in Motion
- Analyst Report Advanced AI-Powered Energy Forecasting
- CUSTOMER STORY Managing Dutch roads and waterways with intelligence
- CUSTOMER STORY One airport operator is making every journey personal for passengers
- Analyst Report IDC Spotlight: Looking Beyond the AI Model to Improve the Value of Computer Vision in Manufacturing Operations
- Analyst Report Data-Driven Grid Reliability: IoT Sensing and Analytics to Enable Predictive Maintenance and Improve Resiliency
- E-BOOK The Future of Energy & Utilities: Transform Through Innovation
- CUSTOMER STORY Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond
- CUSTOMER STORY Transforming steelmaking through IoT analytics
- Analyst Report SAS: Providing a Comprehensive Approach to the IoT Analytics Life Cycle
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- Nutzen Sie einen wiederholbaren, automatisierten und nachverfolgbaren Prozess zur Überwachung, Kontrolle und Nachverfolgung großer Gruppen von SAS® Event Stream Processing-Servern.
- 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.
- Visuelle Untersuchung aller Daten, Erkennung neuer Muster und Veröffentlichung von Berichten im Internet und auf Mobilgeräten.
- Profitieren Sie von schnellerer Data Integration, effektiver Modellentwicklung und reduzierten Cloud-Kosten.