SAP on Azure vs AWS: An Honest Comparison for 2026

Here is the honest answer up front: both Azure and AWS run SAP extremely well, and for most organizations the choice is decided by existing enterprise agreements, surrounding ecosystem, and team skills — not by any meaningful difference in SAP capability. That sentence would not survive a vendor pitch deck from either side, which is exactly why it needs saying. Microsoft will tell you Azure is the natural home for SAP; AWS will tell you it has run SAP workloads longer than anyone. Both claims contain truth. Neither settles the question.

What follows is the comparison we walk clients through when they ask us which hyperscaler to pick for SAP — including the parts where the platforms genuinely differ, the larger parts where they don't, and a decision framework organized around the three scenarios you're actually choosing between.

First, Which Scenario Are You In?

"SAP on Azure vs AWS" is really three different questions depending on your operating model. Getting the scenario right matters more than the hyperscaler debate itself.

Scenario 1: RISE with SAP on a hyperscaler

Under RISE with SAP, SAP owns the operating model — the subscription bundles S/4HANA Cloud, infrastructure, and managed services with SAP as the accountable party. But you still choose the underlying hyperscaler and region, and that choice is not cosmetic. It determines which cloud your SAP system sits closest to, which networking constructs connect it to the rest of your estate, and which ecosystem your integrations, analytics, and identity layers naturally live in. If the rest of your enterprise runs on Azure, putting RISE on AWS means every integration crosses a cloud boundary. (For whether RISE is right at all, see our RISE with SAP vs on-premise comparison; for which edition, the public vs private cloud guide.)

Scenario 2: Native / self-managed SAP on IaaS

Here you license SAP traditionally and run it yourself on hyperscaler infrastructure — full control of the stack, full ownership of Basis and operations (yours or a partner's, such as SAP Basis managed services). This is where hyperscaler differences are most visible, because you interact directly with instance families, storage tiers, networking, and DR tooling.

Scenario 3: Hybrid

Plenty of real landscapes keep some systems on-premise (or in a private data center) while moving others to cloud — often production stays put while non-production, DR, or new S/4HANA environments go first. Here the hyperscaler decision is dominated by connectivity: private-link quality to your data centers, region proximity, and how well the cloud extends your existing network and identity model.

Name your scenario before reading further, because the weight of each factor below shifts with it.

Where Azure and AWS Actually Differ

HANA certification: a tie, deliberately

Both Azure and AWS offer SAP-certified infrastructure for HANA and NetWeaver workloads, from modest application servers up to very large scale-up HANA instances. This is public fact, and it is a genuine tie: SAP certifies specific instance types on both platforms, and both hyperscalers have kept pace as HANA memory requirements have grown. We deliberately won't print instance names and memory sizes here — those tables date within months. Always check the current SAP notes and SAP's certified and supported HANA hardware directory for the live list before you size anything, and validate that your target region actually offers the certified instance family you're planning on. Regional availability of the largest HANA instances is a real constraint on both clouds and one of the few technical questions that can genuinely eliminate an option early.

Enterprise agreement leverage: often the real decider

This is the unglamorous factor that settles more hyperscaler decisions than any benchmark. If you have a substantial Microsoft Enterprise Agreement, your procurement team can often fold Azure SAP infrastructure into existing commitments and negotiate meaningful discounts — and Microsoft has historically been aggressive about using SAP workloads as an anchor tenant for broader Azure adoption. AWS counters with migration incentives, credits, and its own committed-spend constructs. Neither side publishes what you'll actually pay; both negotiate. The practical guidance: whichever vendor you already spend heavily with has structural pricing leverage the other must buy its way past. Model both offers seriously, and don't let list-price calculators stand in for a real negotiation.

Ecosystem integration: Microsoft gravity vs AWS breadth

Azure's strongest card is ecosystem gravity. If your organization runs Microsoft 365, authenticates through Entra ID (formerly Azure AD), and builds analytics on the Microsoft data stack, SAP on Azure slots into an identity, collaboration, and analytics fabric your teams already operate. Single sign-on into SAP, conditional access policies, and Teams-adjacent workflows come with less integration friction.

AWS's strongest card is breadth and maturity of the platform itself. AWS has run SAP workloads since the early days of SAP-on-cloud, and its SAP-specific tooling — launch and configuration automation, backup integration, monitoring hooks — is mature and well-documented. Its service catalog is the industry's broadest, which matters if your SAP data feeds a data-and-AI estate already built on AWS.

The honest framing: this factor is about your ecosystem, not the hyperscalers' feature lists. A Microsoft-standardized enterprise gains real, compounding convenience on Azure. An AWS-native engineering organization gains the same on AWS.

Networking and latency

Both clouds offer private, dedicated connectivity from your data centers (ExpressRoute on Azure, Direct Connect on AWS) and both can deliver the low-latency, zone-redundant networking SAP application-to-database traffic demands. The differences that matter in practice are situational: which cloud has a region close to your users and data centers, where your existing private connectivity already lands, and where the systems SAP talks to most — middleware, MES, e-commerce, data platforms — already live. Latency to adjacent systems usually matters more than any intra-cloud difference.

Disaster recovery patterns

Both platforms support the standard SAP DR patterns: HANA system replication across availability zones or paired regions, backup to object storage, and automated failover orchestration. Azure leans on availability zones plus its site-recovery and backup tooling; AWS offers equivalent constructs with its own orchestration services. Neither has a structural DR advantage for SAP — what differs is how the tooling feels to your operations team and how DR regions map to your geography and data-residency requirements. Design the DR architecture first (RPO/RTO targets, replication topology), then implement it in whichever cloud you chose; the pattern ports across both.

Operations tooling

Day-2 operations is where teams feel the difference most. Azure's SAP-aware monitoring and management surfaces integrate with the broader Azure operations stack your Windows-and-Microsoft-centric IT team may already run. AWS's SAP tooling reflects its longer SAP-hosting history and appeals to teams comfortable with AWS-native operations. Both are workable; neither replaces actual SAP Basis expertise. Whoever operates the system — in-house or via managed services — should have a vote here, because their fluency with one cloud's tooling is worth more than a marginal feature difference.

Azure vs AWS for SAP at a Glance

What Doesn't Differ Much (The Part Vendors Skip)

Now the section neither hyperscaler's field team will lead with: for the core job of running SAP reliably, the platforms are far closer than the marketing suggests.

• SAP performance. Both run production HANA workloads at scale for very large enterprises. Anyone claiming a dramatic, general SAP performance gap between the two is selling something.
• Security and compliance. Both carry the certification portfolios regulated industries need and both support the encryption, network isolation, and audit patterns SAP landscapes require.
• Reliability. Both offer availability zones, mature SLAs, and reference architectures for highly available SAP. Outages happen on both; neither has a structural edge worth deciding on.
• SAP's blessing. SAP supports and partners deeply with both. RISE runs on both. There is no "SAP-preferred" answer, whatever a seller implies.

This is why our first sentence is the whole thesis. When the platforms tie on capability, the tiebreakers are commercial and organizational: agreements, ecosystem, skills.

What About Google Cloud?

GCP is the credible third option and deserves a mention. It also offers SAP-certified infrastructure and hosts RISE deployments, and its data and analytics stack is genuinely attractive if BigQuery is central to your strategy. In practice it appears less often in SAP shortlists simply because fewer enterprises have their center of gravity there — but if yours does, the same logic in this article applies: ecosystem and agreements first, capability is table stakes.

A Decision Framework by Scenario

If you're going RISE: the hyperscaler choice is about the rest of your estate, not SAP operations (SAP runs those either way). Pick the cloud where your integrations, identity, analytics, and network already live. If that's genuinely neutral, let region availability and commercial terms decide.

If you're self-managing on IaaS: weight team skills and operations tooling heavily — your people run this platform daily. Then apply enterprise-agreement leverage, then ecosystem fit. Validate certified instance availability in your target regions before committing.

If you're hybrid: connectivity wins. Choose the cloud with the best private-link story to your data centers and the region set that matches your geography, then align identity and operations tooling with what your team already runs.

And in every scenario: run the commercial negotiation with both vendors before deciding. The competitive tension is worth real money, and it evaporates the moment you signal a winner.

Migration Path Notes

The hyperscaler choice interacts with *how* you migrate, so sequence it consciously:

• Lift-and-shift first (move, then convert): rehost your current ECC or S/4HANA landscape onto the hyperscaler as-is, then run the S/4HANA conversion in the cloud where provisioning parallel landscapes is cheap and fast. This de-risks the infrastructure move and the conversion by separating them.
• Convert, then move: complete the S/4HANA conversion on current infrastructure, then migrate the finished system. Less common now, but sensible when hardware still has life and the conversion timeline is near.
• Convert during the move: combine the migration and conversion in one program — the most compressed path, and the one that most benefits from experienced hands and modern tooling.

Which conversion approach fits — system conversion versus reimplementation — is its own consequential decision; our brownfield vs greenfield guide covers it, and our S/4HANA migration practice executes both, including zero-downtime approaches for landscapes that can't take an outage.

How the 2027 Deadline Changes This

Mainstream maintenance for SAP ECC ends in 2027 (with paid extended support to 2033), and that clock is doing something predictable to hyperscaler decisions: compressing them. Organizations that deferred the S/4HANA question now face the migration approach, operating model, and hyperscaler decisions simultaneously — and rushed hyperscaler choices are how enterprises end up with SAP marooned in a cloud the rest of the business never adopted.

The good news: the hyperscaler decision is the most reversible-feeling but least revisited of the three, so get it right once. The sequencing that works is migration approach first, operating model second (RISE vs self-managed), hyperscaler last — informed by everything above. If the timeline feels tight, that argues for starting the evaluation now, not for skipping it.

An Objective Read, Not a Reseller Pitch

Much of the SAP-on-cloud advice available comes from partners with resale relationships on one side of this comparison. We run SAP cloud migrations on both Azure and AWS, and after 15+ years of SAP infrastructure work and 100+ engagements, our experience is the one this article opened with: both platforms run SAP well, and the right answer is written in your enterprise agreements, your ecosystem, and your team — not in a benchmark chart. If you want that assessment done against your actual landscape, contracts, and skills, we'll give you the honest version, including when the answer is "either one, so negotiate hard."