If your users and your data sit outside China, Alibaba Cloud is usually the easier of the two to adopt: it has public regions in North America, Europe and Latin America, and an English-language ecosystem that is further along. Huawei Cloud makes more sense when your footprint matches its own — Asia Pacific, the Middle East, Africa and Latin America — or when you are already buying Huawei networking and want one commercial relationship.
Both are serious platforms with full compute, storage, database and AI catalogues. Neither is a drop-in replacement for AWS in a Western enterprise procurement process, and that is the part most comparisons skip. Here is what the published numbers say, and what they mean for a mid-sized business deciding where to put a workload.

The short answer
Choose Alibaba Cloud if you need a region in North America or Western Europe, if you sell into Southeast Asia, or if you want the broader third-party tooling ecosystem. Choose Huawei Cloud if your workloads serve the Middle East, Africa or Latin America, if you are standardised on Huawei hardware, or if its AI stack maps to what you are building. If neither sentence describes you, a hyperscaler with a region near your users is the lower-friction answer, and we say so when asked.
Footprint: where each one actually has data centres
Start with the providers’ own infrastructure pages rather than analyst slides. Alibaba Cloud states it operates 107 availability zones in 31 regions, including the first public cloud regions in the Middle East (Dubai) and Indonesia, plus a presence in North America, Europe and Latin America. Huawei Cloud states it operates 103 availability zones across 34 regions, serving Asia Pacific, Latin America, Africa, Europe and the Middle East, with more than 220 cloud services launched.
| Published figure | Alibaba Cloud | Huawei Cloud |
|---|---|---|
| Regions | 31 | 34 |
| Availability zones | 107 | 103 |
| Regions named in North America | US (Virginia), US (Silicon Valley) | None listed |
| Stated continental coverage | Asia, North America, Europe, Latin America, Middle East | Asia Pacific, Latin America, Africa, Europe, Middle East |
| Service count claimed | Not stated on the locations page | 220+ cloud services |
| Mainland China share, Q4 2025 (Omdia) | 37% | 17% |
Zone depth per region matters as much as the region count, because running across two zones is how you earn the higher availability targets described in our guide to IaaS. Alibaba’s locations page lists zone counts per region: Tokyo has five, Singapore four, several regions have two. Check the specific region you intend to use rather than the global total.
Market position and momentum
Neither provider appears in Synergy Research’s worldwide top three. In Q2 2026 that trio was AWS at 28%, Microsoft at 20% and Google Cloud at 15% of a $143 billion quarter. The Chinese market is a different contest. DatacenterDynamics, reporting Omdia’s Q4 2025 figures, put mainland China cloud infrastructure spend up 26% year on year with Alibaba at 37%, Huawei at 17% and Tencent at 10%.
On momentum, Alibaba has the clearer story. On its August 2026 earnings call the company said Alibaba Cloud external revenue grew 45% year on year, a 22-quarter high, with AI-related products at an annual run rate of RMB 49.5 billion (about US$7.3 billion). Huawei does not break out cloud revenue, so judging its trajectory means working from group disclosures: R&D spending of CNY 192.3 billion in 2025, equal to 21.8% of revenue, and 165,000 active granted patents.
That asymmetry is itself useful information. If your finance team wants visible segment reporting before approving a strategic dependency, one of these two gives it to you and the other does not.

Service catalogues and the AI layer
Feature lists converge at this scale. Both offer elastic virtual machines, object storage, managed MySQL and PostgreSQL, Kubernetes, content delivery, and a model platform. The differences that bite are in maturity of documentation, SDK quality and how much of the console has been translated.
| Need | Alibaba Cloud | Huawei Cloud |
|---|---|---|
| Virtual machines | Elastic Compute Service (ECS) | Elastic Cloud Server (ECS) |
| Object storage | Object Storage Service (OSS) | Object Storage Service (OBS) |
| Managed relational database | ApsaraDB RDS, PolarDB | RDS for MySQL, GaussDB |
| Kubernetes | Container Service for Kubernetes (ACK) | Cloud Container Engine (CCE) |
| Model platform | Model Studio with the Qwen family | ModelArts with Pangu models |
| Block storage | Elastic Block Storage | Elastic Volume Service (EVS) |
On AI, both are pushing hard and both are worth testing rather than reading about. Alibaba’s Qwen models have the larger open-source following outside China; Huawei’s Pangu models are tied closely to its Ascend silicon, which is attractive if you want capacity that does not compete with the global GPU queue and awkward if you need CUDA compatibility. Build a small prototype on each before you commit a roadmap.
Cost, support and the parts that annoy people
Both price below the big three for comparable instances in Asian regions, and both run aggressive first-year promotions that quietly expire. Model year two, not year one. Ask three questions before you sign: what the renewal rate is, what egress costs per gigabyte in your region, and whether support is included or sold as a tier.
- Documentation that switches to Chinese for newer services, or lags the console by a release.
- Support quality that varies by region and by plan rather than by severity.
- Fewer third-party integrations: monitoring, backup and CI tools often need a custom connector.
- Billing and invoicing conventions that take a finance team a cycle or two to settle into.
None of these is a reason to walk away. They are reasons to budget engineering time for the first month and to keep your infrastructure defined in code so a later move is a project rather than a rebuild. The platform-as-a-service trade-offs are worth reading alongside this, because a managed platform hides some of the gaps and deepens others.
Compliance and procurement realities
Three practical points. First, hosting a public website on mainland China infrastructure requires an ICP filing tied to a local entity, which neither provider can waive; both offer regions in Hong Kong and Singapore that avoid the requirement. Second, check your own customers’ contracts. Enterprise and public-sector buyers in Europe and North America increasingly name approved providers, and a Chinese provider can trigger a review you did not plan for.
Third, export controls and procurement rules differ by country and change. Huawei in particular sits under restrictions in several jurisdictions that affect what you can buy and who can sell it to you. Get your legal team to confirm the position in every market you operate in before you design around either platform. This is a half-day of work that saves a migration.
How to run a two-week evaluation
Comparisons on paper stall at this point, so run a short trial with a real workload. Two weeks is enough to surface the problems that matter.
- Pick one non-critical service with a database and some file storage.
- Build it from scratch on each platform using infrastructure as code. Time the work, and note every place the documentation was wrong.
- Load-test from the regions your users are actually in, and record latency at the 95th percentile rather than the average.
- Open one genuine support ticket on each, outside your own business hours, and measure the response.
- Export everything and delete the environment. If the export is painful, you have learned the most valuable thing in the exercise.
Eudora Technology runs these evaluations remotely for clients and hands over the scripts, the latency numbers and a plain recommendation. Our cloud solutions work covers the migration afterwards, and our write-up on Alibaba Cloud’s strengths and weaknesses goes deeper on that platform alone.

Frequently asked questions
Which is cheaper, Alibaba Cloud or Huawei Cloud?
For comparable virtual machines in Asian regions the two are usually within a few percent of each other, and both undercut the big three on list price. The decisive numbers are renewal rates after promotional pricing ends, egress per gigabyte in your region, and whether support is bundled. Price a three-year model, not a trial.
Can we use either one if our customers are in Europe?
Technically yes — both publish European regions. Commercially, check your customer contracts and any public-sector framework you sell through, because some name approved providers. Also confirm who processes support requests and from where, since that detail shows up in data protection reviews.
Do we need an ICP filing?
Only if you serve a public website from mainland China infrastructure. The filing is tied to a local business entity and takes weeks. Most international businesses avoid it by deploying in Hong Kong or Singapore, which both providers offer, and accepting slightly higher latency into the mainland.
How hard is it to move off either platform later?
No harder than any other provider if you keep your build in code, your data in open formats and your proprietary service usage low. It gets hard when you adopt a platform-specific managed service deeply. Price the egress for your whole dataset at list rates before you commit, and treat that figure as the cost of changing your mind.
Weighing one of these platforms for a workload with real users on it? Get in touch with Eudora Technology to talk about your project.



