Feature/Capability
SAP BW
SAP Datasphere
Architecture
On-premises and hybrid architecture
Cloud-native architecture
Data Integration
Primarily SAP-centric with ETL processes
Supports multi-source integration (SAP and non-SAP) with real-time data access
Data Virtualization
Limited virtualization capabilities
Advanced data virtualization for real-time insights without replication
Analytics
Traditional reporting tools (e.g., BEx, Web Intelligence)
Self-service analytics with intuitive tools for data modeling and visualization
User Empowerment
IT-driven; requires technical expertise
Business user-friendly; enables self-service analytics and reporting
Scalability
Limited scalability; dependent on hardware
Highly scalable; elastic resources in the cloud
Data Governance
Basic governance features
Comprehensive governance with built-in security, compliance & auditing capabilities
Real-Time Analytics
Batch processing; limited real-time capabilities
Real-time analytics with immediate access to live data
Machine Learning Integration
Minimal integration capabilities
Integrated machine learning functionalities for advanced analytics
Collaboration Features
Limited collaboration tools
Enhanced collaboration through shared workspaces (Spaces) for teams
Deployment Model
Requires significant on-premises infrastructure investment
Fully managed cloud service with reduced IT overhead
Cost Structure
High upfront costs for hardware and maintenance
Pay-as-you-go model with lower total cost of ownership
Data Model Flexibility
Rigid data modeling approaches
Agile data modeling that adapts to changing business needs
Integration with Modern Technologies
Limited compatibility with modern analytics tools outside SAP ecosystem
Seamless integration with a wide range of third-party applications and services
User Experience
Steep learning curve due to complexity
Designed for ease of use, allowing business users to create reports and dashboards independently