Bubble vs Adalo
Bubble vs Adalo, and what happens to each one at scale
Pricing and limits checked on September 2026
Adalo vs Bubble
Adalo vs Bubble at a glance.
The nine dimensions that decide whether a platform survives its first year of real users. Same rows on every comparison, so you can read them side by side.
Pricing model
Usage — Workload Units
~$0.30 per 1k WUs on paid tiers
Flat monthly tiers
No usage metering; ~$36/mo entry paid
What you pay for as you grow
App activity (WUs)
Busier app = higher bill, not more seats
Tier upgrades
More editors, apps, features; Xano is extra
Data ceiling
~50k sorted-search cap
Lists degrade before that on complex constraints
~2k records/collection
Degrades early; loads lists into device memory
Custom logic depth
Full visual backend
Workflows, API workflows, its own DB
Shallow to moderate
Custom Actions + formulas; complex logic needs Xano
Mobile output
Responsive web + PWA
Native needs a wrapper
Native iOS + Android
Mobile-first; publishes to both stores
Code export
None
No source export at all
None
Data exports as CSV; the app does not
Hosting control
Bubble cloud (shared AWS)
Adalo cloud only
No self-host, no region choice
Vendor lock-in
High
Nothing is portable
High
Only data is portable; leaving = rebuild
Who it suits
Self-contained web apps
Customer-facing products with their own DB
Simple native mobile apps
Non-technical founders, low data volumes
Where Bubble hits its ceiling
Where Bubble hits its ceiling.
The four limits that end serious Bubble projects, made specific to this comparison. Each one is sourced.
Search-performance cliff around 50k records
~50k rowsBubble's sorted searches cap near 50,000 records and lists degrade well before that on complex constraints. An app that grows into hundreds of thousands of rows needs careful indexing and pagination the visual editor makes awkward. It's a real ceiling, but it sits far above Adalo's: Adalo's internal database starts to struggle around 2,000 records per collection, so on raw data volume Bubble has much more headroom.
MajorSources: [4]Zero code ownership
No exportThere is no source-code export from Bubble. If the platform, its pricing, or its limits stop working for you, you can take your data and nothing else. Adalo is no better on this axis — it exports data as CSV but never the app — so a move off either one is a rebuild from scratch. For any team that expects to own its product, that's the hardest wall on both platforms.
BlockerSources: [5]Workload-Unit billing scales with activity, not value
$0.30 / 1k WUBubble meters almost everything an app does as Workload Units, billed around $0.30 per 1,000 WUs above your plan's allowance. A busy app costs more whether or not it earns more, and the bill is hard to forecast before real traffic arrives. Adalo takes the opposite approach with flat monthly tiers, so its cost is predictable even if its data ceiling is lower.
MajorSources: [4]300-second server-workflow timeout
300sBubble kills a server-side workflow at 300 seconds. Bulk imports, exports, scheduled recalculations, and long third-party syncs have to be chunked around the limit or moved off the platform. Adalo has no comparable server-side workflow engine at all, so heavy processing there pushes you to an external backend like Xano well before you'd hit a timeout.
MinorSources: [4]
Where Adalo hits its ceiling
Where Adalo hits its ceiling.
The real, researched limits on Adalo — not generic ones. If a limit matters to your app, it's here.
Performance degrades past ~2,000 records per collection
~2k recordsAdalo's internal database performs well under about 2,000 records per collection, degrades between roughly 2,000 and 10,000, and becomes problematic beyond 10,000. The cause is architectural: Adalo loads all matching list items into device memory and fires a network request per list image. Teams report sluggishness at 2,000–3,000 unoptimized records. The fix is moving data to an external backend like Xano, which is a separate tool and cost.
BlockerSources: [2]No code export and no self-hosting
No exportAdalo has no source-code export. Apps stay on Adalo's managed cloud, you don't own the underlying code, and there's no self-host or region choice. You can export your data as CSV, but the app itself is not portable, and stopping payment loses access to it. On the ownership axis Adalo leaves you exactly where Bubble does.
MajorSources: [2]Shallow custom logic
Adalo's logic is Custom Actions and formulas (from Professional) that can make REST calls and handle basic rules, but there's no server-side code environment. Anything approaching real workflow depth pushes you to Xano through External Collections. Bubble's visual backend, with its own database and API workflows, goes considerably further before you need to leave the platform.
MajorSources: [3]Xano becomes a required second bill at scale
Because the internal database gives out early, a growing Adalo app is really an Adalo front end on a Xano backend. That's a workable pattern, but it means two platforms to run and pay for, and the data still lives on someone else's cloud. The flat, cheap entry price stops telling the whole cost story once your record counts climb.
MinorSources: [3]
Pricing compared
What each one costs when it stops being a demo.
The sticker price rarely decides it. What matters is the axis your bill grows along once real users arrive.
Pricing checked on September 2026. Vendors change plans often — verify before you commit.
Bubble
from ~$32/mo- Billing model
- Usage-metered Workload Units on top of a plan tier
- What drives cost up
- Workload Units consumed by app activity
Paid plans include a WU allowance; overage bills around $0.30 per 1,000 WUs. A busy app's bill climbs with traffic, independent of revenue.
Adalo
~$36/mo (Starter)- Billing model
- Flat monthly tiers, no usage metering
- What drives cost up
- Editors, published apps, storage, features (plus Xano)
Professional is around $52/mo, Team ~$160/mo, and Business ~$200/mo, mainly to unlock more apps and features. Adalo's pricing page was unreachable at our check date, so treat these dollar figures as approximate and verify on the live page.
What happens at scale
Adalo is cheaper and more predictable for a small native app while data stays under a couple of thousand records. Once you cross that wall you add a Xano bill, which narrows the gap and can overtake a low-traffic Bubble app. Either way, both bills rent the platform and neither buys you the code.
Which one should you choose
The honest pick-this-if split.
Pick Bubble if…
- You're building a web app with more than a couple thousand records to manage.
- Your product needs real workflows and a proper backend, not just front-end actions.
- You want data, logic, and UI in one platform instead of Adalo plus Xano.
- You're validating a customer-facing web product and don't yet need to own code.
Pick Adalo if…
- You need a genuine native iOS and Android app and your data stays small.
- You're a non-technical founder who wants a simple mobile app shipped fast.
- You prefer flat, predictable monthly pricing over usage-metered WU billing.
- Your app is content or directory style, not data- or logic-heavy.
A tested figure
The ~2,000-record wall vs Bubble's ~50k sorted-search cap
The sharpest number in this comparison is how early each database gives out. Adalo's own performance guidance puts the practical ceiling around 2,000 records per collection: it loads all matching list items into device memory and fires a network request per list image, so teams report sluggishness at 2,000–3,000 unoptimized records and real problems past 10,000. Bubble's sorted searches degrade nearer 50,000 records. That's roughly a 25x difference in raw headroom on the internal database before you're forced onto an external backend. Both figures are approximate and workload-dependent, and neither platform lets you export the app you built on top.
- Adalo practical ceiling
- ~2,000 records
- Adalo problem zone
- beyond ~10,000
- Bubble sorted search
- ~50,000 records
- Code you can export
- None (either)
When neither is the answer
When the honest answer is code you own.
Adalo and Bubble solve different halves of the problem and share the same weakness. Adalo gives you native mobile but gives out around a couple thousand records; Bubble gives you a real backend but caps sorted search near 50,000 and, like Adalo, exports no code. The moment an app has real users, real data, and needs to run for years, patching around either ceiling costs more than it's worth. A rebuild in code you own — a real database with no early cliff, an app layer you control, hosting you choose — is the version that scales and survives a pricing change or a platform pivot. That's usually the right call once the product is past validation.
Frequently asked
Adalo vs Bubble — the questions buyers ask.
Straight from the People-Also-Ask box on the live search results. Answers grounded in the sources cited on this page.
- Q01Does Adalo have a record limit, and does Bubble?
- Neither publishes a hard cap, but both slow down. Adalo's practical ceiling is low: its own guidance points to trouble around 2,000 records per collection because it loads lists into device memory, with real problems past 10,000. Bubble's sorted searches degrade nearer 50,000. So Bubble has far more headroom on raw data, though a heavy Adalo app can offload data to Xano to push past its wall.
- Q02Can I export code from either Adalo or Bubble?
- No. Neither platform exports source code on any plan. Adalo lets you export your data as CSV and Bubble lets you take your data too, but the app itself — pages, logic, design — stays locked to the platform, and stopping payment loses access to it. If owning the build matters, that's the shared reason a rebuild in code you control eventually comes up for both.
- Q03Is Adalo or Bubble better for a mobile app?
- For a true native app, Adalo. It's mobile-first and publishes genuine native iOS and Android apps to both stores, included from its Starter tier. Bubble builds responsive web and a PWA, so reaching the app stores means wrapping it, which Apple often rejects. The trade is data: Adalo's early ~2,000-record wall makes it a fit for simpler apps, while Bubble handles more records on the web.
- Q04Is Adalo cheaper than Bubble at scale?
- For a small app, usually yes and more predictable — flat tiers from around $36/mo with no usage metering, versus Bubble's Workload Units at ~$0.30 per 1,000. But Adalo's data ceiling forces heavier apps onto Xano, adding a second bill that narrows or erases the gap. A low-data native app favors Adalo on cost; a data-heavy one can end up paying for two platforms.
- Q05Should I use Xano with Adalo as a backend?
- Once you approach Adalo's ~2,000-record wall, yes — moving data to Xano through External Collections is the standard fix and lets the app grow. It works, but it turns one tool into two to run and pay for, and your data still sits on managed cloud you don't control. At that point it's worth pricing a rebuild that owns both the data and the app outright.
Sources
Every figure, traced to a primary source.
The numbered references in the body link here. We cite vendor pricing pages, official docs, and named reporting — dated where the document is dated, so the page can be re-audited each quarter.
- [01]
- [02]Optimize app performance — record-count guidance and list loading
Adalo Helphelp.adalo.com
- [03]Production-ready performance benchmarks
Adaloadalo.com
- [04]Understanding Workload — WU billing, timeouts, and limits
Bubble Group Inc.manual.bubble.io
- [05]Bubble manual — platform capabilities and limits
Bubble Group Inc.manual.bubble.io
Outgrowing Adalo or Bubble?
We’ll tell you what a rebuild in code you own actually costs.
Book a call with Jackson, our Growth Partner — he’ll score every workflow, the data and scaling risks, and a fixed-price rebuild plan for your app, live on your screen. Or get an instant estimate first.
Or see fixed-price migration packages and why Bubble feels broken.