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SAP HANA on Azure Large Instances

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What is SAP HANA on Azure Large Instances

SAP HANA on Azure Large Instances is a Microsoft Azure offering that provides dedicated bare-metal infrastructure to run SAP HANA at large scale in Azure. It is used by enterprises migrating or extending SAP HANA and SAP applications to Azure while requiring high memory footprints and predictable performance characteristics. The service integrates with Azure networking and operational tooling while keeping the HANA database on isolated, single-tenant hardware managed as part of the Azure environment.

pros

Dedicated bare-metal capacity

The service provides single-tenant, bare-metal servers sized for large SAP HANA deployments, including high-memory configurations. This can reduce resource contention compared with multi-tenant virtualized environments. It is designed for SAP-certified scenarios that require specific hardware characteristics and predictable performance.

Azure-native connectivity options

It connects to Azure virtual networks, enabling integration with Azure-hosted application tiers and supporting services. Organizations can use Azure networking constructs (for example, routing and segmentation) to place HANA Large Instances into broader cloud architectures. This helps when migrating SAP landscapes where application servers and integrations are already planned for Azure.

Supports SAP migration patterns

It fits common SAP migration approaches such as lift-and-shift of HANA databases and hybrid architectures where some components remain on VMs. The offering is oriented toward enterprise SAP operations, including high availability and disaster recovery designs using Azure regions and connectivity. This can simplify planning compared with assembling equivalent dedicated infrastructure independently.

cons

Not a data integration tool

Despite being listed alongside data integration and cloud data integration software, the product is primarily infrastructure for running SAP HANA rather than an ETL/ELT or data movement platform. Data replication, ingestion, and transformation typically require separate SAP or third-party tooling. Buyers evaluating it for integration use cases will still need additional products and architecture work.

Specialized deployment complexity

Provisioning and operating HANA on dedicated large instances introduces SAP-specific design and operational requirements (networking, sizing, HA/DR, and patch coordination). Teams often need SAP Basis and Azure platform expertise to implement and maintain the environment. This can increase time-to-implement compared with more standardized cloud migration utilities focused on moving files or SaaS tenants.

Cost and capacity constraints

Dedicated bare-metal capacity can be more expensive than general-purpose virtualized compute, especially when overprovisioned for peak demand. Availability depends on regional capacity and supported configurations, which can affect timelines for large migrations. Long-term commitments and sizing decisions can be harder to adjust than with smaller, elastic cloud resources.

Plan & Pricing

Pricing model: Quote-based / Pay-as-you-go (no public per-SKU list found on Microsoft public pricing pages).

Public pricing details (official Microsoft): Microsoft does not publish per-SKU public list prices for "SAP HANA on Azure Large Instances" on its public Azure pricing pages. Customers obtain pricing by provisioning SKUs in the Azure portal, purchasing Azure reservations for 1- or 3-year terms, or contacting Microsoft Sales/partners for quotes.

Reservation options (official): 1-year and 3-year reservations are supported; reservation purchases cover the compute and NFS storage bundled with the HLI SKU but do not include software licensing (OS or SAP). Example reservation JSON in Microsoft docs includes a sample pricingCurrencyTotal (example amount shown in docs for illustration only).

Discounts / purchase options (official): Reservation prepay discounts (1 or 3 year) apply; reservation covers compute + NFS storage. No public pay-as-you-go per-hour rates were located on Microsoft public pricing pages.

Notes: The Microsoft documentation lists available HLI SKUs and details (memory/CPU/storage) but the public site does not publish standard per-SKU hourly/monthly rates; Microsoft directs customers to contact Sales or use reservation APIs/portal to obtain pricing or purchase reserved capacity.

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Microsoft Corporation
Redmond, Washington, United States
1975
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