As enterprises increasingly adopt big data and cloud architectures, the demand for unified data platforms that combine the best of data lakes and data warehouses has surged. The Data Lakehouse concept has emerged as a powerful approach to enable seamless analytics and data management across diverse data types and workloads. SAP Vora plays a critical role in realizing the Data Lakehouse vision within SAP ecosystems by bridging Hadoop-based data lakes with enterprise-grade analytics and data processing capabilities.
A Data Lakehouse integrates the flexibility, scale, and cost-efficiency of data lakes with the management, governance, and performance features traditionally found in data warehouses. This architecture allows organizations to store all data types — structured, semi-structured, and unstructured — in a single repository while enabling high-performance SQL analytics and BI workloads.
SAP Vora extends the Apache Spark ecosystem with a distributed in-memory computing engine optimized for enterprise analytics on big data platforms like Hadoop and cloud storage. It enables the Data Lakehouse by providing:
Data is stored in scalable, cost-effective data lakes on Hadoop or cloud storage solutions like Amazon S3 or Azure Data Lake Storage. This layer holds raw, detailed data alongside curated datasets.
SAP Vora runs on top of Apache Spark, enabling distributed processing and fast in-memory analytics. It can handle batch, interactive, and streaming workloads, offering flexibility across use cases.
By integrating with SAP HANA and SAP Data Intelligence, Vora ensures consistent metadata management, data lineage, and governance — critical for compliance and data quality.
SAP Vora supports SQL interfaces that allow tools like SAP Analytics Cloud and SAP BusinessObjects to run queries directly on big data, bridging the gap between data lakes and enterprise reporting.
SAP Vora enables enterprises to realize the Data Lakehouse architecture by unifying the scalability and cost benefits of data lakes with the performance and governance features of data warehouses. In SAP landscapes, Vora’s advanced analytics, seamless integration, and flexible data models make it a cornerstone technology for next-generation big data analytics. By deploying Vora as the analytic engine in your Data Lakehouse, organizations can unlock comprehensive insights, drive innovation, and maintain agility in an increasingly data-centric world.