Actian Ingres and SAP NetWeaver Business Warehouse compete in the enterprise database and data warehousing markets. SAP NetWeaver Business Warehouse appears to have the upper hand due to its comprehensive data management capabilities and advanced analytics tools.
Features: Actian Ingres supports ANSI SQL standards, offering strong transactional consistency and reliable data integrity, focusing on database reliability. SAP NetWeaver Business Warehouse provides advanced analytics, superior data integration, and extensive reporting capabilities, accommodating diverse data sources and offering built-in analytics tools.
Ease of Deployment and Customer Service: SAP NetWeaver Business Warehouse offers a well-structured deployment model supported by detailed documentation and extensive customer support, facilitating a smooth implementation process. Actian Ingres features a simpler installation method but with less comprehensive support services, highlighting SAP's extensive support network crucial for larger projects.
Pricing and ROI: Actian Ingres typically incurs lower setup costs with rapid ROI due to reduced initial investment and operational expenses. In contrast, SAP NetWeaver Business Warehouse, despite higher upfront costs, provides significant long-term value through its advanced features, ensuring substantial ROI over time, distinguishing Actian's cost efficiency from SAP's extensive capabilities and benefits.
| Product | Market Share (%) |
|---|---|
| Actian Ingres | 1.8% |
| SAP NetWeaver Business Warehouse | 1.5% |
| Other | 96.7% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Large Enterprise | 7 |
Actian’s Ingres is a leading, enterprise-grade database management system designed to reduce IT costs and time-to-value, while delivering the strength and features expected from an enterprise-class database. Ingres 10.2 is the latest version of the database, containing enhancements that will make it easier to internationalize customer applications. Along with improved performance and reduced configuration overhead, users can take their first steps into big data analytics with the new Window functions.
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