cloudf.one vs Sauce Labs Real Device Cloud: device testing vs persistent cloud phones
cloudf.one vs Sauce Labs is one of those comparisons where, if you’re not careful, you end up comparing a fork to a screwdriver. both can technically pry the lid off a paint can, but you wouldn’t pick either one for that. Sauce Labs Real Device Cloud is enterprise QA infrastructure. cloudf.one is operational infrastructure for people running real accounts in Singapore. they share a vocabulary (real devices, cloud, Android, automation) but almost nothing else.
if your team is shopping both because they showed up next to each other in a search result, this article is for you. by the end, you’ll know which one solves your actual problem, and whether you might need a slice of each.
what Sauce Labs Real Device Cloud is
Sauce Labs is one of the original cloud testing companies, founded in 2008 in San Francisco. Real Device Cloud is the part of their stack that gives you remote control over a fleet of physical Android and iOS devices for automated and manual testing. you point your Appium, Espresso, XCUITest, or Selenium suite at a Sauce Labs endpoint, and the test runs on a real handset in their datacenter. you get logs, video, screenshots, network HAR files, the lot.
the model is built around the parallel session as the unit of cost. you pay for the right to run N tests concurrently across the fleet. devices are pooled. when your test ends, the device is wiped, recycled, and handed to the next customer in the queue. you don’t own a device in any persistent sense. you rent capacity.
that fits enterprise QA cleanly. a 200-engineer team can run a thousand tests a night across hundreds of device-OS combinations and pay for parallels rather than for individual handsets. for regression coverage at scale, it’s hard to beat.
what cloudf.one is
cloudf.one starts from a different premise. you rent one specific Samsung phone in a Singapore datacenter, with a real Singapore mobile carrier SIM, and the phone is yours full-time on a subscription. it doesn’t get wiped at the end of a session because there is no session, just a continuously running phone you log into when you need it.
that makes cloudf.one operational infrastructure rather than testing infrastructure. you keep TikTok logged in. you keep WhatsApp Business running. you keep Carousell listings refreshed. you keep an account warm across weeks. for stacking real Android phones into a mobile app testing rig where the device needs persistent state, that matters. for traditional QA, it doesn’t.
the same logic that drives cloudf.one vs BrowserStack App Live shows up here too. enterprise QA platforms pool devices and meter them by time. cloudf.one assigns devices and meters them by month.
the pricing structure, side by side
Sauce Labs publishes plans by parallel session. Real Device Cloud sits on top of that. enterprise pricing is custom but typically lands in the four-to-five-figure annual range for serious team usage. you’re paying for fleet access, not for any specific phone.
cloudf.one is roughly SGD 30 to 50 per phone per month, scaling linearly with the number of phones you reserve. one phone, one tenant, one Singapore SIM, 24/7 availability for that customer. ten phones costs ten times as much, but each one is a distinct, persistent device you can rely on tomorrow.
the unit-cost mismatch is the whole point. if you tried to run 50 parallel test suites on cloudf.one, you’d need 50 phones, and that’s silly when Sauce Labs gives you a pool. if you tried to run 10 long-lived TikTok accounts on Sauce Labs, you’d be reinstalling and re-logging-in every session because nothing persists, and that’s silly when cloudf.one was built for it.
geographic identity
Sauce Labs runs its real device cloud out of US and European datacenters. when a test session connects, the device’s outbound IP and carrier identity reflect those locations. for QA, that’s irrelevant or even useful (testing your app from US-like conditions). for ops, it’s the wrong country.
cloudf.one is Singapore-only by design. real local handsets, real Singtel/StarHub/M1 SIMs, real Singapore mobile IPs. if your workflow needs to look genuinely Singaporean to platforms like TikTok, Grab, or Carousell, this is the difference between working and not working. there’s no Sauce Labs setting that turns a US device into a Singapore device.
automation API differences
Sauce Labs is API-first for QA. its REST API covers session creation, device selection, capability matrices, video and log retrieval, all of it Appium-compatible. you write your test suite once and target Sauce as a remote endpoint. tests run, results come back, devices recycle.
cloudf.one’s API is shaped around long-running phones. you call it to launch apps, send ADB commands, rotate the carrier IP, take screen captures, and inspect device state. there’s no concept of “spin up a session, tear down a session” because the phone never goes away. if you wrote a Sauce-style script that assumed a fresh device every run, you’d have to add cleanup logic. on cloudf.one, you usually don’t want cleanup, you want continuity.
both expose ADB. both can be Appium targets if you really want. the difference is what the underlying infrastructure rewards. Sauce rewards parallelism and device variety. cloudf.one rewards persistence and identity stability.
when each one is the right call
pick Sauce Labs if you’re an engineering team running a CI/CD pipeline that needs to validate builds across many devices and OS versions. you want fleet access, parallel sessions, deep test framework support, and you don’t care which specific physical phone runs your test as long as it matches the capability matrix you specified.
pick cloudf.one if you need a real Singapore phone, with a real Singapore IP, that stays the same phone tomorrow as it is today. account ops, social media management, market research, customer support, anything where the device is part of your production stack and not a throwaway test surface.
teams running mobile apps for the SEA market sometimes use both. Sauce for the regression suite that runs on every PR. cloudf.one for the live customer-facing operations that need a Singapore identity and persistent state. they don’t compete. they sit at different layers of the stack.
hybrid setups
if you’re a Singapore-focused mobile app company, the cleanest split looks like this. push Sauce Labs into your CI pipeline for cross-device regression coverage. that catches the “did my build break on a Galaxy A14” class of bugs at scale. then run cloudf.one phones for production validation, dogfooding from a real local IP, and any account-bound workflows that don’t fit a stateless test session.
the cost lines stay clean because they map to different teams (QA owns Sauce, ops owns cloudf.one) and different KPIs (test coverage vs account stability).
FAQ
is cloudf.one a Sauce Labs alternative?
only if your problem is “I need a real Singapore phone with persistent state”. for traditional cross-device QA at scale, Sauce Labs is the better tool because of its device library, parallel-session pricing, and test framework support. they solve different problems despite both being “real device cloud” by name.
can Sauce Labs give me a Singapore IP?
no. Sauce Labs runs its real device fleet in the US and Europe. there’s no toggle that gives a session a Singapore mobile carrier IP. if Singapore identity matters to your workflow, Sauce can’t deliver it.
what does cloudf.one cost vs Sauce Labs?
different units. Sauce Labs is typically annual contracts paying for parallel sessions, often four-to-five figures USD. cloudf.one is roughly SGD 30 to 50 per phone per month. the right comparison is “what does the workflow cost” not “what is the headline price”.
can I run my Appium tests on cloudf.one?
yes, because cloudf.one phones expose ADB. it’s not the primary use case but it works. for high-parallelism CI runs you’d still want a dedicated QA cloud. for spot-check Appium runs against a persistent device, cloudf.one is fine.
do I need both?
if you’re a Singapore-focused mobile app team, often yes. Sauce for the QA pipeline, cloudf.one for production ops and Singapore-IP work. the budgets and owners are usually different so it doesn’t muddle anyone’s spreadsheet.
how does session recycling on Sauce Labs affect my workflow?
every Sauce session ends with a device wipe. that’s a feature for QA (clean baseline, no test pollution) and a non-starter for ops (you lose every login, every cookie, every app state). cloudf.one keeps the same phone in the same state across days and weeks, which is what real account ops requires. if your script depends on the device being identical from one run to the next, Sauce will fight you and cloudf.one won’t.
can Sauce Labs simulate a Singapore mobile network at all?
it can simulate network throttling profiles (3G, 4G, lossy connection, etc) but it cannot give you a real Singapore mobile carrier IP because the underlying device isn’t on a Singapore carrier. for testing how your app behaves under poor network conditions, Sauce is fine. for needing a real Singapore presence, it isn’t.