Enterprise data streaming platform to set SAP data in motion
Fuel intelligent, real-time applications and analytics with data on the SAP Datasphere leveraging a cloud-native and complete data streaming platform–including serverless Apache Flink®–built by the original creators of Apache Kafka®.
Overview
Build real-time applications at a lower cost with fully managed data streams
Stream SAP systems data with the Kora Engine built for the cloud and lower your total cost of ownership (TCO) vs. data streaming with open source Kafka by up to 60%
Stream SAP data anywhere it’s needed and merge with 3rd party data in real time
Work quickly and easily with 120+ pre-built source and sink connectors built by the data streaming experts and supported across cloud, on-prem, and hybrid environments.
Maintain strict security and governance compliance with ease
Launch faster while upholding strict requirements with enterprise-grade security controls, the industry’s only fully managed governance suite for Kafka, and much more.
Details
Solution type
APIs and Technical Components
Industry
Cross-Industry, Retail, Banking, Public Sector, Travel and Transportation
Compatibility
Works with
SAP Business Data Cloud
Features
Accelerate innovation and reduce risk with cloud-native data streaming
Meet any workload demand with a 10x Kafka service including GBps+ elastic scalability, infinite storage, a 99.99% uptime SLA, and predictable low latency sustained over time—all powered by the Kora Engine.

Go far beyond Kafka with a complete data streaming platform
Give teams all the essentials tools for productivity including stream processing with fully managed Apache Flink®, 120+ source & sink connectors (70+ provided fully managed), stream quality controls, a self-service catalog of data streams, interactive lineage maps, and more.

Stream everywhere without limitation
Connect all of your SAP data to any system, no matter where that system lives. Our data streaming platform spans on-prem, cloud, and multicloud environments to ensure all your systems stay in sync in real-time.
