Most no-code mobile comparisons are written by people who have never had to answer to a CISO — here is one that is.
Application owners in regulated industries are under real pressure to ship mobile-first tools faster than traditional development allows. The no code mobile app development platform market has responded with a crowded field of options, each making credible claims about speed, flexibility, and enterprise readiness. The problem is that “enterprise readiness” means different things to a startup selling to SMBs and a team deploying tools inside a hospital network or financial institution.
This is a practical breakdown of the platforms that actually come up in enterprise shortlists: Bubble, Glide, AppGyver (now SAP Build Apps), and a few others worth knowing. We will cover what each does well on mobile, where security posture gets thin, and what happens when you add AI to the mix.
The Mobile Capability Gap Most Teams Discover Too Late
Bubble is a powerful builder, but it was designed web-first. Its responsive design engine can produce mobile-friendly interfaces, and the native app wrapper approach through BDK Native or third-party tools gets you into app stores. What it does not give you is true native mobile performance — animations, gestures, and offline behavior all show the seams under production load.
Glide takes the opposite approach. It is genuinely mobile-first, built around the idea that a well-structured Google Sheet or Airtable base can become a functional field app in hours. For internal tools — inspection checklists, inventory lookups, field service workflows — Glide’s speed-to-deploy is real. The constraint is that complexity hits a ceiling fast, and that ceiling appears before most enterprise use cases are fully covered.
AppGyver, now absorbed into SAP Build Apps, has the most credible native mobile story of the three. It compiles to actual native components rather than wrapping a web view, which matters for performance-sensitive applications. The SAP acquisition brought enterprise procurement familiarity but also SAP’s characteristic complexity — the platform is capable, but the learning curve and licensing conversations have gotten steeper since the rebrand.
For teams that need progressive web app delivery with serious data modeling, Adalo and FlutterFlow round out the shortlist. FlutterFlow in particular is worth watching — it generates real Flutter code, which means you are not locked into the platform’s runtime forever. That exit ramp matters to enterprise architects who have been burned by platform dependency before.
Enterprise Security Posture: Where the Real Differences Live
Security documentation is easy to produce. Actual security architecture is harder to fake under scrutiny. When evaluating any no code mobile app development platform for enterprise deployment, the questions that matter are about data residency, authentication integration, and what happens to your data inside the vendor’s infrastructure.
Bubble hosts your application and its data on Bubble’s infrastructure by default. There is a dedicated plan tier that improves isolation, but you are still operating inside a multi-tenant environment with Bubble-controlled data handling. For many internal tools, that is acceptable. For applications touching PII, PHI, or regulated financial data, it requires a harder conversation with your compliance team than most sales cycles surface.
Glide’s data model is architecturally different — your data stays in the source systems you connect (Google Sheets, BigQuery, SQL databases), and Glide acts more as a presentation and logic layer. That is a better story for regulated environments, but it transfers the security responsibility to how those source systems are configured, which is not always the improvement it sounds like.
SAP Build Apps benefits from SAP’s BTP (Business Technology Platform) infrastructure, which carries enterprise certifications that matter: SOC 2, ISO 27001, and GDPR compliance tooling. If your organization already runs SAP workloads, the security conversation is largely handled by existing vendor agreements. If you do not, you are buying into a significant platform commitment to get those assurances.
SSO and SCIM provisioning are table-stakes for enterprise mobile apps. Bubble supports SAML-based SSO at higher plan tiers. Glide has SSO support but with limitations depending on your identity provider. SAP Build Apps has full enterprise IAM integration through BTP. FlutterFlow requires you to implement auth through your own backend — more work upfront, but no ceiling on what you can configure.
When Mobile Apps Start Calling LLM APIs
This is where the comparison gets genuinely important for enterprise teams right now. Every platform on this list has moved to add AI features — Glide has AI columns, Bubble has AI-assisted builders, SAP Build Apps connects to SAP’s Joule AI layer. The question is not whether AI is available. The question is what happens to your data when a mobile app triggers an LLM call.
A field technician opens a mobile app built on a no code mobile app development platform, queries a customer record, and the app runs that data through an LLM to generate a service summary. Where did that data go? Through the platform’s API wrapper, to which LLM provider, under what data processing terms? Most application owners cannot answer that question about their current deployments.
This is the architectural problem that Peridot is built to solve. When enterprise mobile apps need AI capabilities, running those calls through Peridot means the LLM execution happens inside your own infrastructure — not inside a third-party platform’s cloud layer. The data does not leave your control boundary to get an AI response. That distinction is not academic when you are in a regulated industry and your compliance team asks where customer data was processed last Tuesday.
Peridot integrates as the AI backend for applications built on any of these platforms. You build the mobile interface in Glide or FlutterFlow, you call Peridot’s API for AI functionality, and you retain full visibility into what data was passed, which model processed it, and what was returned. That is the control layer that no-code platform-native AI features do not give you.
How to Actually Choose
The right no code mobile app development platform for enterprise use depends on three honest answers: how complex is the application logic, how sensitive is the data, and how long do you plan to run this tool.
For fast internal tools with low data sensitivity and a clear two-year horizon, Glide delivers genuine ROI with manageable risk. For complex logic and moderate data sensitivity, Bubble with a dedicated plan and careful data architecture is viable. For native mobile performance and a regulated data environment with SAP infrastructure already in place, Build Apps makes sense. For teams that want a real code exit ramp, FlutterFlow is the most future-proof choice on the list.
What none of these platforms give you natively is controlled AI execution over enterprise data. That is not a gap they will close on their own timelines — it is a gap you need to architect around today, before the mobile apps your teams are building start processing customer data through AI APIs you did not choose and cannot audit.
Enterprise AI is not a feature you add to a platform. It is infrastructure you control or infrastructure you are exposed by.