What is needed in an SAP Vora deployment?

For an SAP Vora deployment, Apache Spark is essential because SAP Vora is designed to operate in conjunction with Spark, leveraging its processing capabilities to perform real-time analytics on big data stored in Hadoop Distributed File System (HDFS). Spark provides the in-memory processing that allows for faster data analysis and enhances the overall performance of data workflows in Vora.

While other tools such as the SAP HANA data warehousing foundation, SAP Data Services, and Apache Hadoop can play supportive roles in an enterprise data environment, they are not prerequisites for deploying SAP Vora. Apache Hadoop is often used to store and manage large datasets that Vora can analyze, but the core analytics engine that Vora utilizes is built on Spark. This synergy allows users to harness the power of big data analytics effectively while integrating seamlessly into the Hadoop ecosystem.