Is Xano Good Enough for Production? What I Learned Using It
Short answer: yes. I used Xano as the backend of a recruitment ATS/CRM in production for a couple of years. Around 150K person records, roughly 35K candidates, thousands of jobs and projects, and dozens of people using it every day. It handled the APIs, permissions, background jobs, AI workflows and a lot of business logic. So I’m not guessing. It works in production. But there’s a longer answer too, and that’s the part that actually matters. What Xano gives you Xano has basically everything you need for a production backend: Everything a backend needs, in one place Database: tables and relations, add or remove fields Indexes: add them on the columns you filter on APIs: REST endpoints with auth and permissions Request history: what each call received, returned and how long it took Background tasks: scheduled jobs and work outside the request External APIs: call OpenAI, Google, email tools, anything And you can see all of it. On that project, Xano called OpenAI for CV extraction and candidate matching, Google Vision for OCR, Google Places for locations and Brevo for emails. If a service has an API, Xano can call it. The best part: you can see everything This is why I’d recommend it to someone who isn’t super technical yet. You see your data right in front of you. You see your tables and how they connect. You open an API and see every step it runs, in order. You open the request history and see what came in, what went out and how long it took. In a normal backend, a lot of that is hidden in files, logs and terminals. In Xano, it’s on the screen. That makes it much easier to understand what your backend is actually doing, and to fix it when it’s wrong. Visual doesn’t mean toy. It means you can see what you’re running. And now it works with AI too Xano now has XanoScript, a way to write your backend logic as code, and an MCP server you can connect to tools like Claude Code. So you’re not stuck clicking forever. An AI agent can read your workspace, write logic and help you build faster, and you still check the result visually in Xano. I’ve used the Xano MCP with Claude Code myself. You can build a full backend in a few hours, or refactor a whole app in minutes. And if you can’t read walls of code, you just open Xano and see visually what Claude did. For me that’s the best of both: AI speed, and a backend you can still see. What you still need to know Here’s the honest part. Xano makes the backend easier to build. It doesn’t make backend problems disappear. At one point, some APIs on the production app I worked on took 5–40+ seconds under load. That wasn’t Xano being bad. It was missing indexes, heavy joins, too many database calls in one request and work that should have run in the background. We fixed it with PostgreSQL indexes (including GIN and geospatial ones), better queries, fewer repeated calls, pagination and background tasks. The full story is in what slowed down our Xano/PostgreSQL backend. Before you go live on Xano, check: [x] indexes on the columns you filter and sort by [x] pagination on every list endpoint [x] no database calls inside big loops [x] heavy work (AI, emails, imports) in background tasks [x] permissions on every endpoint, not only in the frontend None of this is special to Xano. You’d need the same in Node.js or anything else. That’s kind of the point. So, is it good enough? Yes. For most business apps (CRMs, dashboards, internal tools, SaaS products and a lot more) Xano is more than enough. It’s especially good if you’re not extremely technical, because it shows you what’s going on instead of hiding it. Would I use it for everything? No. Some projects fit a full-code backend better, and I explain when I’d move in low-code vs full-code. But “is Xano production-ready?” isn’t really the question anymore. The question is whether you understand what you’re building on top of it. (More on my Xano work.) I first posted this on my blog, where it’s also in French and Arabic. Curious how others see it: what did you start with, and would you pick the same again?
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