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Ratings and Reviews 0 Ratings
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What is SAS Event Stream Processing?
Understanding the importance of streaming data generated from various operations, transactions, sensors, and IoT devices is crucial for maximizing its potential. SAS's event stream processing provides a robust solution that integrates streaming data quality, advanced analytics, and a wide array of both SAS and open source machine learning methods, all complemented by high-frequency analytics capabilities. This cohesive approach allows for the effective connection, interpretation, cleansing, and analysis of streaming data without disruption. No matter the speed at which your data is produced, the sheer amount of data you handle, or the variety of sources you draw from, you can manage everything with ease through an intuitive interface. In addition, by establishing patterns and preparing for diverse scenarios across your organization, you can maintain flexibility and address challenges proactively as they arise, ultimately boosting your overall operational efficiency while fostering a culture of continuous improvement. This adaptability is essential in today's fast-paced data-driven environment.
What is Akka?
Akka is an all-encompassing toolkit tailored for the development of highly concurrent, distributed, and resilient applications that are message-driven, appealing to both Java and Scala programmers. In addition to this, Akka Insights acts as a dedicated monitoring and observability solution specifically designed for environments utilizing Akka. By leveraging Actors and Streams, developers are able to build systems that optimize server resource utilization while also allowing for seamless scalability across multiple servers. Grounded in the principles outlined in The Reactive Manifesto, Akka provides the tools necessary for creating self-healing systems that remain responsive in the face of failures, effectively eliminating single points of failure in distributed architectures. It boasts features such as load balancing and adaptive routing among nodes, along with the integration of Event Sourcing and CQRS through Cluster Sharding methods. Moreover, it supports Distributed Data to achieve eventual consistency through the use of Conflict-free Replicated Data Types (CRDTs). The framework also offers asynchronous, non-blocking stream processing complemented by built-in backpressure management. With its fully asynchronous HTTP server and client capabilities, Akka serves as an exceptional foundation for microservices development, while its integration with Alpakka further enhances streaming capabilities, facilitating more efficient data processing in complex applications. This adaptability and range of features make Akka a highly versatile and appealing choice for contemporary application development, ensuring developers can meet the demands of modern computing environments.
Integrations Supported
AWS Marketplace
Azure Marketplace
Dash
New Relic
Sematext Cloud
Integrations Supported
AWS Marketplace
Azure Marketplace
Dash
New Relic
Sematext Cloud
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SAS Institute
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/event-stream-processing.html
Company Facts
Organization Name
Akka
Company Website
akka.io
Categories and Features
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
