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Cost and Value Lab

Dove costo e architettura si incontrano davvero

Uno scenario realistico, non un calcolatore di prezzi. Scopri cosa guida il costo, cosa è confrontabile e cosa no.

Esempio illustrativo

Data platform for a mid-size enterprise

15 TB of governed data300 BI users50 data engineersGrowing AI workloadsSAP integration requiredEU data residency required

Cosa guida il costo qui

Compute for AI workloads

The largest and least predictable driver once AI workloads scale beyond pilots.

Data movement

Moving data across regions or platforms to satisfy residency requirements adds cost that's easy to underestimate.

User concurrency

300 BI users querying concurrently drives compute differently than a smaller, steadier workload.

Integration complexity

SAP integration depth changes implementation cost more than the platform choice itself.

Come ogni piattaforma sostiene questo costo in modo diverso

SAP Business Data Cloud

Esposizione: mostly fixed
Impegno
Bundled with existing SAP commercial agreements, less exposure to standalone consumption spikes.
Movimento dei dati
Lowest data movement cost for SAP-native data, since it stays close to source.
Operazioni
Lower operations overhead, more of the platform is managed.

Databricks

Esposizione: mostly variable
Impegno
Consumption-based; AI workload growth directly drives spend unless actively governed.
Movimento dei dati
Moderate, depends on source system proximity to the chosen cloud region.
Operazioni
Higher operations overhead, more configuration and tuning responsibility.

Snowflake

Esposizione: mixed
Impegno
Credit-based consumption with optional capacity commitments that reduce unit cost.
Movimento dei dati
Moderate, cross-cloud data sharing can add movement cost.
Operazioni
Lower operations overhead for core analytics; AI workloads add more.

Microsoft Fabric

Esposizione: mixed
Impegno
Capacity-based pricing; needs sizing before commitment to avoid over- or under-provisioning.
Movimento dei dati
Lowest if already inside the Microsoft ecosystem, higher if not.
Operazioni
Lower operations overhead where Microsoft tooling is already standard.

Cosa non è direttamente confrontabile

  • List prices alone, without factoring in existing commercial agreements and discounts
  • AI compute costs across platforms without a defined workload profile, since usage patterns vary widely
  • Implementation cost estimates without a validated integration scope

Modella il tuo scenario

Un vero Decision Sprint costruisce questo modello a partire dai tuoi contratti e dal tuo utilizzo reali, non da una stima generica.

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