What Everyone Else Says:
Protocloud Difference:
Specialised in one only 
All three pathways covered 
A landscape assessment starts from $15,000. A pilot implementation runs $30,000–$60,000. Full enterprise implementation programmes range from $100,000–$400,000+ depending on BW complexity and scope. Fixed quote after assessment.
A landscape assessment takes 2–3 weeks. A pilot takes 6–10 weeks. Full BW migration programmes run 6–18 months in phased sprints. Timeline committed after assessment.
Yes. Our team holds SAP Datasphere, SAP BW, BW/4HANA, and SAP Analytics Cloud certifications. We also hold Azure and Databricks certifications for hyperscaler integration work.
Yes – that is SAP’s roadmap intention. Datasphere is designed to be the cloud-native replacement for SAP BW, with BW Bridge providing the transition path. We help you plan a migration that is gradual and risk-managed, not a big-bang replacement.
SAP Business Data Cloud (BDC) is the next evolution of Datasphere – adding native Databricks integration, pre-built AI/ML insight apps, and intelligent business content. Think of Datasphere as the foundation and BDC as the AI-powered evolution. For most clients we start with Datasphere and plan the BDC upgrade as a second phase.
SAP Datasphere is the evolution of SAP Data Warehouse Cloud – with a broader scope. It includes the DWC capabilities plus data integration, semantic layer, data marketplace, and native integration with SAP BW/BW4HANA through BW Bridge. If you’re on SAP DWC, you’re already on the path to Datasphere.
BW/4HANA is still on-premise-centric and cannot easily unify non-SAP data or enable AI/ML at scale. Datasphere is cloud-native, open to any data source, and is SAP’s stated strategic direction for the next decade. BW/4HANA customers should be planning their Datasphere migration strategy now.
Yes. BW Bridge lets BW queries run against Datasphere models during the transition – providing business continuity while migration progresses. You don’t have to rewrite everything before you can cut over.
Datasphere has native connectors to Azure Data Lake, AWS S3, Google BigQuery, Databricks, Snowflake, and 40+ other data sources. We design the integration architecture to pull all relevant data into Datasphere with a unified semantic layer on top.
