cloudf.one vs PCloudy: real device cloud comparison for 2026
if you are weighing cloudf.one vs PCloudy, you are usually looking at two real-device clouds that surface very differently in practice. PCloudy is a mobile QA testing platform with a long track record in enterprise testing. cloudf.one is a Singapore-focused cloud phone service for ops on real local mobile networks. both run real devices. that is where the surface similarity ends.
PCloudy gives QA teams access to real Android and iOS devices for automated and manual testing. it integrates with the standard CI ecosystem, supports popular test frameworks, and offers analytics and AI-assisted features for triaging test failures. it is built and priced for QA workflows in mobile dev teams.
cloudf.one is a real Samsung phone in our Singapore facility, on a real local SIM, with a real SG mobile IP. flat monthly per-phone subscription, persistent by default, controlled through a browser or ADB. it is built for ops that need real Singapore mobile identity.
picking the right one comes down to whether you are running QA at scale or persistent SG mobile ops.
what PCloudy does
PCloudy’s product is a mobile testing cloud with both manual and automated testing capabilities.
- real device access across Android and iOS, multiple OEMs and OS versions
- support for Appium, Espresso, XCUITest, and Selenium-based test frameworks
- live interactive testing for manual QA work
- integrations with Jenkins, GitHub Actions, GitLab, Bamboo
- AI-driven test analysis and failure triage
- visual testing, performance testing, accessibility testing
- enterprise contracts with SSO and audit logging
if you ship a mobile app and need cross-device QA in CI with reasonable enterprise pricing, PCloudy is one of the established options. for the broader category, real device cloud phones for mobile app testing covers where each kind of cloud fits.
where PCloudy does not fit ops
PCloudy is QA-first. that orientation comes with the same trade-offs as every other QA cloud.
devices reset between sessions. account state, app installs, and login persistence do not survive. for account warming, that is the wrong shape.
network paths are datacenter QA infrastructure. there is no SIM card, no carrier modem, no real Singapore mobile range. for any workflow that depends on looking like a real SG mobile user, PCloudy cannot give you that.
pricing is plan-based with parallel slots and per-minute components. for one phone running 8 hours a day every day, the math turns into a number that does not pencil for ops.
where cloudf.one fits
cloudf.one inverts the QA-cloud assumptions. real Samsung handset, real local SIM, real SG mobile carrier IP, persistent by default, flat monthly fee.
for TikTok, Instagram, banking app sessions, ad verification on local mobile, or any workflow that depends on appearing as a Singapore mobile user, this is the layer testing clouds do not give you. our cloud phone IP leakage prevention writeup covers why network isolation matters under app SDK scrutiny.
comparison table
| feature | PCloudy | cloudf.one |
|---|---|---|
| pricing | enterprise plans, parallel slots | flat monthly per phone |
| device type | real devices in QA cloud | real Samsung in SG |
| network | datacenter QA infrastructure | real SG mobile SIM |
| best for | mobile QA in CI pipelines | SG mobile ops, account warming |
| device persistence | wiped between sessions | persistent by default |
| Singapore mobile IP | no | yes |
| AI test triage | yes | no |
| target audience | mobile dev teams | growth teams, agencies, ops |
| commitment | monthly or annual plans | monthly subscription |
| verdict | best for QA pipelines | required for SG mobile ops |
pricing reality
PCloudy’s pricing varies by plan and parallel slot count. enterprise contracts get custom rates. for QA workloads, the model is reasonable.
for one phone running continuously, the model breaks. test cloud parallel slots are not designed to be held 24/7 by a single user. cloudf.one’s flat monthly per-phone fee is purpose-built for that workload.
PCloudy’s official site positions the platform as continuous mobile testing. that should drive the buying decision.
use case fit
PCloudy fits when:
- you ship a mobile app and need cross-device QA in CI
- test runs are short and parallel
- you need automated and manual QA in one platform
- the work is testing, not ops
- IP geography is irrelevant for your workflow
cloudf.one fits when:
- you run accounts on Singapore mobile networks
- the workflow is interactive ops, not CI
- you need SG mobile carrier IPs for ad ops, social, fintech
- one phone runs persistently for hours or days
- account warming and login persistence matter
teams that try to use PCloudy for SG mobile ops pay for QA cloud slots that lack the local carrier IP. teams that try to use cloudf.one as a parallel test runner are paying a per-phone subscription when a CI cloud could parallelize across many models cheaper.
the CI vs ops split
this is the same line we covered in cloudf.one vs Bitbar and cloudf.one vs Firebase Test Lab.
QA wants ephemeral, parallel, broad coverage, datacenter routing. that fits PCloudy.
ops wants persistent, single-device, single-IP, single-SIM, real-mobile. that fits cloudf.one.
mature teams that ship Singapore-facing apps often run both. one tool for QA pipelines, the other for SG ops. the surfaces do not overlap.
the simple decision
if your question is whether your mobile QA pipeline should target PCloudy, the answer can be yes for teams that want a mature QA cloud at enterprise pricing.
if your question is whether your SG mobile ops should run on PCloudy, the answer is no. the device wipes, the IP is wrong, the pricing is wrong shape. cloudf.one was built for that surface.
try the layer you do not have
if you use PCloudy for QA and need persistent SG mobile ops, cloudf.one offers a free 1-hour trial on a real Singapore phone with no card. check the carrier, install your app, see how the platform reacts.
frequently asked questions
is PCloudy a competitor to cloudf.one?
partially. they overlap on real devices in the cloud but solve different problems. PCloudy is QA. cloudf.one is SG ops.
does PCloudy offer Singapore devices?
yes, in the pool. whether those devices are on a real local mobile carrier SIM is a different question, and for SG ops the carrier signal is what matters.
can I run Appium against cloudf.one?
ADB is exposed, so Appium and Maestro work. for cross-device parallel CI runs, PCloudy or another QA cloud is a better fit.
is PCloudy cheaper than cloudf.one?
for short parallel test runs, often yes. for persistent device rental, no.
should I pick just one?
not always. mature teams run both. PCloudy for QA, cloudf.one for SG mobile ops.