Most enterprise teams evaluating a no code mobile app development platform are asking the wrong question — they’re comparing drag-and-drop interfaces when they should be comparing what happens to their data when the app actually runs.
The market has matured enough that Bubble, Glide, AppGyver, and a handful of others can all produce a functional mobile tool in days. The real differentiation lives in security architecture, enterprise data handling, and — increasingly — how each platform approaches AI integration. If you’re an application owner in a regulated industry, those three factors determine whether your mobile tool is an asset or a liability.
The Platform Landscape: What Each One Actually Does Well
Bubble is the most powerful no-code builder on the market for complex logic. Its visual workflow engine handles relational data, conditional states, and API calls with enough depth that experienced developers use it to ship production SaaS products. The mobile experience, however, is a responsive web wrapper — not a native app. For internal enterprise tools where you control the device environment, that’s often fine. For consumer-grade mobile UX, it’s a ceiling.
Glide takes the opposite approach. It’s built mobile-first, with a clean interface that turns spreadsheet data into polished apps in hours. The trade-off is depth — Glide works beautifully for simple workflows and field team tools, but hits limits fast when your data model gets complex or your access control requirements get granular. Its enterprise tier adds SSO and audit logs, which matter, but the underlying architecture is still built around Google Sheets and Airtable as data sources.
AppGyver (now SAP Build Apps after acquisition) has genuine native mobile output, which puts it in a different technical category. It compiles to native iOS and Android, handles offline sync, and integrates with SAP’s broader enterprise stack. If your organization runs SAP, this is worth serious evaluation. If you don’t, the tool’s complexity and SAP’s enterprise sales motion may not justify the fit.
The rest of the field — OutSystems, Adalo, Thunkable, Mendix — each occupy defensible niches. OutSystems and Mendix are low-code rather than true no-code, aimed at developer teams that want acceleration without full abstraction. Adalo and Thunkable are closer to Glide in simplicity, with varying degrees of native mobile output.
Enterprise Security: Where Most Platforms Fall Short
The security posture of a no code mobile app development platform is rarely what the marketing page implies. Most platforms are multi-tenant SaaS environments where your data flows through shared infrastructure, your API keys live in their secrets manager, and your compliance posture depends on their audit cycle, not yours.
For teams in healthcare, financial services, or government, that model creates real exposure. SOC 2 Type II compliance is now table stakes — nearly every major platform has it — but compliance reports tell you what a vendor did last year, not what their architecture allows today. The harder question is: where does data actually land when a user submits a form, triggers a workflow, or calls an external API?
Glide’s reliance on third-party spreadsheet infrastructure means your enterprise data is moving through Google or Airtable’s systems before it reaches your end users. Bubble hosts application data on AWS but in a shared environment. AppGyver’s SAP backing gives it stronger enterprise credibility, but deployment complexity goes up significantly. None of these platforms were designed with the assumption that regulated data would be the default use case.
SSO, role-based access control, and audit logging are necessary but not sufficient. Application owners need to understand the full data path — not just authentication at the edge.
AI Integration: The Risk Nobody Is Talking About
Every major no code mobile app development platform is racing to add AI features. Glide has AI columns that call OpenAI. Bubble has plugins that connect to LLM APIs. AppGyver supports external API calls to any AI service. On paper, this is progress. In practice, it creates a new category of enterprise data risk that most teams haven’t fully modeled.
When a mobile app calls an LLM API — whether that’s OpenAI, Anthropic, or a hosted model — the data in that API call leaves your environment. If a field technician submits a support ticket and your app sends that content to a third-party AI service for summarization or classification, you’ve just moved enterprise data through infrastructure you don’t control, often without explicit user awareness and almost never with the governance controls your compliance team expects.
This is where Peridot changes the calculus. Rather than routing AI calls through external APIs that sit outside your security perimeter, Peridot runs AI execution inside your own infrastructure. The mobile app still gets the AI capability — the summarization, the classification, the generative response — but the data never leaves your environment. For application owners building on top of any of these no-code platforms, Peridot acts as the controlled AI layer that sits between your mobile tool and the underlying models.
The no-code platforms themselves are unlikely to solve this problem natively. Their business model depends on keeping the stack simple and hosted. The AI integrations they ship will default to external API calls because that’s the path of least resistance for their engineering teams and their customers. Enterprise application owners need to account for this gap explicitly, not assume the platform handles it.
How to Choose: The Decision That Will Outlast the Demo
If you’re building internal mobile tools for non-technical teams and your data isn’t highly sensitive, Glide is genuinely fast and the results look professional. For more complex workflows with heavier data modeling requirements, Bubble is the stronger technical foundation. If you’re an SAP shop building native mobile apps and you have developer resources to support the build, AppGyver deserves a real evaluation.
What shouldn’t drive the decision is the demo experience. Every platform looks fast in a sandbox. The question to ask is: what happens when this app is running in production, handling real user data, calling AI services, and your compliance team asks where that data went?
Peridot exists precisely for that moment — when mobile applications touch enterprise data and AI is in the execution path, and the answer to “where did that data go” has to be “inside our infrastructure, under our control.”
The no code mobile app development platform you choose sets the floor for what’s buildable. Your data governance architecture sets the ceiling for what’s deployable. Getting both right isn’t optional in regulated environments — it’s the entire job.