SAP AI Lab · field notes, condensed

SAP on Azure Cheat Sheet

One page, four decisions: HANA VM sizing, what you actually pay, the landing-zone checklist, and backup/DR numbers. Every figure is lifted from our dated tutorials — nothing here is invented.

Data as of 2026-11-08

01 HANA VM sizing quick reference

SKU familyCertified examples (VM memory)Typical fit
M-series (v1) Standard_M32ts (192 GiB), Standard_M32ls (256 GiB) Dev/test, small prod, HA pairs for ≤ ~256 GB RAM
E/D-series (v4–v6) E20ds_v4 (160), E32ds_v4 (256), E48ds_v4 (384 GiB) Non-prod; smaller prod with Premium SSD v2 / Ultra sub-ms storage
Mv2 / Mv3 scale-up M416ms_v2, M624ds_12_v3, M832ds_12_v3 (11,400 GiB) Production scale-up, 1–2 TiB+ memory footprint
Mv3 / Ix extreme memory M832ixs1 (14,902), M832ids_16_v3 (15,200), M832ixs_v2 (23,088 GiB) Very large single-node; data path designed for 2,000–4,000 MB/s
Mv3 top-end (request-only) M896ixds_32_v3, M1792ixds_32_v3 (30,400 GiB) Max single-VM HANA; not available by default — ask your Microsoft account team

Go deeper: Deploy SAP HANA on Azure — VM sizing, storage & configuration

02 Monthly cost snapshot (Retail Prices API, East US, USD — as of 2026-11-08)

Linux HANA SKUvCPU / RAMPAYG $/h 1-yr RI (prepaid total)3-yr RI (prepaid total)RI savings 1y / 3y
Standard_M832is_16_v3 832 / 15,200 GiB $163.856 $834,816 $1,209,163 41.8% / 71.9%
Standard_M416s_6_v3 416 / 5,696 GiB $55.3014 $281,750 $408,092 41.8% / 71.9%

Two-node HA pair on M832is_16_v3 (730-h month): ≈ $239,200/mo PAYG → ≈ $139,100/mo amortized on 1-yr RI → ≈ $67,200/mo on 3-yr RI.

Go deeper: RISE with SAP cost breakdown — what you pay on Azure

03 Landing zone checklist

Go deeper: Azure landing zone for SAP in 2026 — how we structure it

04 Backup & DR — key numbers (docs checked 2026-11-08)

MetricDocumented value
RPO floor, same region15 minutes (log-backup frequency; logs only flow after the first successful full)
RPO, secondary region (Cross Region Restore)12 h + log frequency — vaults replicate only between paired regions
RTONo absolute RTO is published. Snapshots make the baseline a near-instant disk restore + log replay; measure your own in a drill
Backup throughput~420 MB/s data, ~100 MB/s logs; multi-streaming (≤ 32 channels) ~1.5 GB/s — needs ≥16 vCPU / 128 GB VM and >128 GB backups
Restore throughputSlower than backup; default cap ~420 MB/s per stream — size recovery window as DB size ÷ throughput + log replay
Fuls per dayScheduled: 1 · on-demand: 3 recommended / 9 hard
RetentionMin 7 d (any type) · incremental max 180 d · logs commonly 7–35 d · instant tier 1–35 d
Restore quotaMax 10 restores/instance/day — failed and canceled jobs count against it
Scale supportedDBs up to 40 TB (size, not memory) · one instance per VM · scale-out preview ≤ 32 nodes, all in the vault's region
Support matrixAzure VMs only (no HLI) · SLES 12 SP2–SP5 / 15 SP0–SP7 / 16.0, RHEL 8.1–10.0 · HANA 1.x SDC & 2.x MDC SPS04–08 · Ubuntu: not on the list

Go deeper: SAP HANA backup and disaster recovery on Azure — field guide

All figures as of 2026-11-08, condensed from tutorials that cite Microsoft Learn, SAP Help, and the Azure Retail Prices API (East US, USD) — prices, SKUs, and support matrices change; the official documentation is the source of truth. SAP AI Lab is an independent, unofficial site; not an official SAP or Microsoft publication.