SAS® Event Stream Processing & Confluent Cloud
Get the best of both worlds for real-time insights in milliseconds
SAS Event Stream Processing & Confluent Cloud
As organizations increasingly rely on real-time data to drive decision-making, seamless integration between data streaming platforms and analytics engines is critical. SAS Event Stream Processing and Confluent Cloud are better together - offering a powerful combination for handling real-time data at scale and ensuring seamless integration between advanced stream analytics and cloud-native data streaming built by the original creators of Apache Kafka®.
Simplify the path to value
Kafka is a critical component for ingesting and processing real-time data streams. However, self-managing Kafka infrastructure quickly introduces operational complexities, scaling challenges, and overall resource and cost inflation. With SAS Event Stream Processing's ability to deliver high-performance, low-latency, real-time analytics paired with fully managed, processed and governed data streams from Confluent Cloud, this partnership simplifies the path to unlocking value from data generated across the entire business – including sources such as IoT devices and sensors and business and transactional systems.
By connecting SAS Event Stream Processing with Confluent Cloud, you can easily bring data streams from 120+ pre-built sources into SAS Event Stream Processing for advanced real-time processing. This integration accelerates deployment and ensures seamless, scalable streaming analytics that can support a wide variety of real-time use cases – from fraud detection to predictive maintenance.
Key features
Streaming analytics
From data ingestion via Kafka in Confluent Cloud to real-time processing in SAS Event Stream Processing, businesses can build robust, end-to-end pipelines for actionable insights in milliseconds.
Enhanced productivity
With SAS Event Stream Processing Studio’s drag-and-drop capabilities and Confluent’s support for robust automation tools such as Terraform, businesses can more efficiently operationalize data from Kafka and other sources to drive actionable insights with reduced development time and effort.
Seamless scalability
As your streaming data needs grow, Confluent Cloud and SAS Event Stream Processing scale effortlessly to continue delivering real-time insights without bottlenecks.
Security & governance
With robust enterprise-grade security and governance features in both products, the integration ensures that data streams remain secure and compliant with industry standards while delivering the insights necessary for mission-critical use cases.
Simplified management
With Confluent Cloud, you no longer need to worry about the complexities of Kafka and open-source infrastructure management, freeing up resources to focus on insights, analytics and innovation.
Competitive advantage
Get the real-time decision-making power of SAS Event Stream Processing and the operational simplicity and scalability of Confluent Cloud. Together, they empower you to stay agile and competitive in an increasingly data-driven landscape.
Get Started with the SAS ESP Confluent Connector
Follow this quick, easy step-by-step process to create an account and begin connecting data from both environments.
- Step 1: Access Confluent Cloud
- Step 2: Obtain Bootstrap Server Information
- Step 3: Create or Identify a Topic
- Step 4: SAS ESP Confluent Connector Configuration
- Step 5: Match Schema
- Step 6: Test your Project and Observe Output
Another convenient option to connect: Watch our video
