SAP Business Warehouse and Oracle Autonomous Data Warehouse are both in the business intelligence and data management domain. Oracle Autonomous Data Warehouse holds an edge due to its autonomous features and scalability, which may balance its pricing concerns.
Features: SAP Business Warehouse offers customizable reporting and robust integration with SAP applications, providing seamless data consolidation, ideal for businesses deeply embedded in SAP ecosystems. Oracle Autonomous Data Warehouse emphasizes automation with self-optimizing, self-healing capabilities, high scalability, efficient data processing, and potential labor cost reduction with minimized manual intervention.
Room for Improvement: SAP Business Warehouse could improve in simplifying its initial setup to enhance accessibility for non-SAP environments and boost real-time data processing capabilities. Oracle Autonomous Data Warehouse can enhance user interface customization, refine data integration options beyond Oracle environments, and address pricing transparency for better cost predictability.
Ease of Deployment and Customer Service: SAP Business Warehouse requires significant setup effort and SAP familiarity for optimal deployment but offers well-regarded customer service. Oracle Autonomous Data Warehouse simplifies deployment with its cloud-native design, reducing operational complexity through autonomous management, and offers robust support for cloud-based data solutions.
Pricing and ROI: SAP Business Warehouse often incurs higher initial costs due to extensive integration needs, with potentially high ROI for organizations leveraging SAP's ecosystem. Oracle Autonomous Data Warehouse's pay-as-you-go model may prove cost-effective for rapidly scaling businesses. Its autonomous features enhance ROI by reducing labor costs and boosting data agility.
| Product | Market Share (%) |
|---|---|
| Oracle Autonomous Data Warehouse | 5.2% |
| SAP Business Warehouse | 2.1% |
| Other | 92.7% |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 1 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
Oracle Autonomous Data Warehouse is the world’s first and only autonomous database optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can rapidly, easily, and cost-effectively discover business insights using data of any size and type. Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report (PDF), lowers operational costs by an average of 63%.
Autonomous Database provides the foundation for a data lakehouse—a modern, open architecture that enables you to store, analyze, and understand all your data. The data lakehouse combines the power and richness of data warehouses with the breadth, flexibility, and low cost of popular open source data lake technologies. Access your data lakehouse through Autonomous Database using the world's most powerful and open SQL processing engine.
Reporting, analysis and interpretation of business data are crucial to preserve and enhance the competitive edge of companies by optimizing processes and enabling them to react quickly and in line with market needs. SAP Business Warehouse (SAP BW) provides tools and functions that enable companies to attain these goals. In SAP BW, you can integrate, transform, and consolidate relevant business information from productive SAP applications and external data sources. SAP BW provides you with a high-performance infrastructure that helps you evaluate and interpret data. Decision makers can make well-founded decisions and identify target-orientated activities on the basis of the analyzed data.
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