Configuration-first backend-as-a-service. Define your data model, get a complete REST API with authentication, row-level security, file storage, and API docs — without writing backend code.
No credit card required. Free tier includes auth, RLS, API docs, and 500K requests/mo.
500K
API requests free / mo
< 5 min
From idea to live API
€0
To start building
0
Lines of backend code
Describe your app in plain English. Stacknodo AI generates tables, fields,
types, relations, and access rules — ready to deploy in seconds.
No generated code — only configuration. Your data stays in standard PostgreSQL you can export anytime.
Edit the schema on the left — the diagram updates instantly. Drag tables to rearrange. Drag field dots to connect.
Live schema editor
This interactive demo works best on a wider screen.
Open it on your desktop to try the live editor.
Build me a blog platform with users, posts, comments and file uploads
Schema generated from prompt · edit below or in the diagram
Edit the schema — the diagram updates live ↗
Two tools that eliminate the most tedious parts of backend development.
Describe your app in plain English. Stacknodo's AI generates a complete schema — tables, fields, types, relationships, and row-level security rules — ready to deploy in one click.
Design your data model visually. Drag tables onto the canvas, draw relationships between them, configure fields inline — see your entire schema at a glance without writing a single migration.
If you already use Stacknodo, shipping AI features into your app is not another infrastructure project. Use the same client, call one method, and let Stacknodo handle schema awareness, file context, streaming, and model routing.
A complete backend — not a database with homework.
Define tables, get CRUD endpoints instantly. Full pagination, filtering, sorting, and error handling.
Read docsTalk to your Stacknodo backend from scripts, scheduled jobs, and CI with a zero-dependency client and chainable query builder — the same data and rules as your auto-generated API.
Read docsJWT-based auth with register, login, password reset. No bcrypt config, no middleware wiring.
Read docsDeclarative access rules in JSON. Public, authenticated, owner-based, or superuser. No SQL policies.
Read docsUpload, serve, and manage files per project. Automatic content-type handling and size limits.
Read docsDesign your data model visually. Drag tables, define relationships, see the schema at a glance.
Read docsEvery schema change is versioned automatically — in Studio, via the API, or the SDK. Diff any two versions, catch breaking changes, and roll back in one click. Available on Pro and up.
Read docsRestrict API access per project to specific IPs or CIDR ranges. Block unwanted traffic before it reaches your data.
Read docsDescribe your app in plain English — get a complete table schema with fields, types, and RLS rules generated by AI.
Read docsShip schema-aware AI into your app with streaming responses, file context, and managed tiers instead of wiring your own RAG stack.
Read docsThe Studio itself is AI-assisted. Ask about tables, RLS, usage, logs, and platform workflows without leaving the dashboard.
Read docsCopilot, Cursor, and other coding agents can fetch live docs and schema context so generated code stays aligned with the real project.
Read docsFire outbound HTTP requests on create, update, and delete events. HMAC-signed payloads with built-in SSRF protection.
Read docsOptional TOTP-based 2FA for your account. Google Authenticator compatible with backup recovery codes.
Read docsDevelopment, staging, and production — each isolated but schema-synced. Promote changes upward with one click. Environments are gated by plan.
Read docsCreate on-demand snapshots, or let Stacknodo capture one automatically before any destructive change — like dropping a table or overwriting your schema. Restore or download any snapshot anytime. Included on every plan.
Read docsOne-click ZIP export with SQL dump, config JSON, and metadata. Zero lock-in — your data is always portable.
Read docsSubscribe to inserts, updates, and deletes with RLS-aware live events over WebSocket for instant application updates.
Read docsYour app talks to Stacknodo over the auto-generated REST API. The official Node.js package adds a typed client for the automation around it — seed scripts, scheduled jobs, and migrations. Then install Coding Agent Integration so Copilot, Cursor, and other IDE agents can fetch live Stacknodo docs and live schema context from the same project.
The official Stacknodo SDK gives you a typed client for the automation around your backend — seed scripts, scheduled jobs, and CI pipelines.
Add the local Stacknodo skill entrypoint so coding agents can discover your project and then pull current docs and schema over HTTP instead of relying on stale copied notes.
Every change — yours, a teammate's, or an AI agent's — is versioned, diffed, and reversible. If someone breaks something, you roll back in one click. No data loss, no 2 a.m. panic.
Each schema change is captured as an immutable version. See a visual diff of exactly what changed, get an AI summary with a security analysis of the impact, and an automatic data backup is taken before anything destructive runs.
Changes made through the SDK are wrapped in the same automatic backups as the dashboard. So even if an AI agent — or a tired colleague — drops the wrong table or overwrites a schema, there's always a recovery point waiting.
Every surface in the dashboard can be driven by prompting — generate schemas, set filters and views, and explore your event logs in plain English. The built-in AI tools also work directly on the data stored in your project, so you can ask questions and act on real records without leaving Stacknodo.
Development, staging, and production are completely isolated from each other — and so is every backup and SDK connection, which is always scoped to a single environment. Experiment freely without touching production, then deploy live with one click from the dashboard.
Even a basic backend takes months to build — and standing up production-grade infrastructure around it takes a dedicated team and thousands a month. Every Stacknodo project — including the free tier — runs on the same hardened, redundant infrastructure designed for production workloads.
Doing this yourself? Here's what it actually costs.
€500–1,500 /mo
Cloud infrastructure
K8s, managed DB, CDN, WAF
3–6 months
Just a basic backend
Auth, API, RLS, file storage
€5,000 +/mo
DevOps engineer
Monitoring, on-call, scaling
€0
On Stacknodo
Included on every plan
Kubernetes cluster, managed PostgreSQL with HA failover, CDN, WAF, DDoS protection, CI/CD pipelines, 24/7 monitoring, alerting, log aggregation, SSL certs, backup automation — plus an AI-assisted management dashboard to work with your data, a deeply integrated AI API with direct access to your files and data structures, automatic schema versioning and safety snapshots before every destructive change. And someone who knows how to run it all. On Stacknodo, it's just there.
Your data is continuously replicated across multiple independent nodes. Block storage is triple-replicated across physically separate servers. If any node fails, Stacknodo promotes a standby automatically — your API stays online.
Read docs →
Rolling deployments with health checks ensure your API never goes offline during platform updates. When you add a table, rename a field, or update access rules — changes take effect immediately. No migration queues, no maintenance windows, no waiting.
Read docs →
Stacknodo's edge layer includes a Web Application Firewall that blocks OWASP Top 10 attacks before they reach your backend. Volumetric DDoS attacks are absorbed automatically at the network edge — included on every plan, at no extra cost.
Read docs →
Every project runs on PostgreSQL 16 with hot standby replicas. Stacknodo's connection pooling layer is built for high concurrency at scale. Sub-second failover — zero manual intervention required.
Read docs →
Connection pooling is built in, so concurrency spikes do not exhaust PostgreSQL connections or force you to tune pool settings by hand.
Read docs →
Stacknodo creates daily snapshots of your project data automatically. Snapshots are stored indefinitely within your plan's limit — no expiry, no silent deletion. Restore any snapshot or download it anytime. Your data is never disposable.
Read docs →
Profile images, uploads, exports, and snapshot archives live in object storage, while PostgreSQL keeps the metadata, references, and queryable application records.
Read docs →
Static assets and file uploads are served from Stacknodo's global edge network — 330+ points of presence, sub-50ms latency worldwide. Your dashboard and API responses load instantly, everywhere.
Read docs →
All compute and primary data storage run in EU datacenters, encrypted at rest. Backups stored in EU regions. Your data never leaves the EU by default.
Read docs →
Every project gets its own isolated environment with independent credentials and rate limits. One project's traffic spike never affects another's performance.
Read docs →
API capacity, database connections, and storage all expand automatically as your project grows — with zero downtime. You never have to think about infrastructure.
Read docs →
N+1
Database redundancy
3×
Storage replication
∞
Scalable connections
∞
Snapshot retention
330+
CDN edge locations
< 1 s
Failover time
Your data lives in standard PostgreSQL. Your schema configuration — tables, fields, relationships, RLS rules, auth settings — is plain JSON you can export anytime. No proprietary query languages, no opaque formats, no traps.
If you ever outgrow Stacknodo, export your full database and configuration, point your app at any PostgreSQL instance, and keep going. We earn your business every month — not by locking you in.
The gap is everything around the database: auth, files, environments, recovery, and agent-native AI workflows.
| Supabase ($25/mo) | Neon (~$19/mo) | Firebase (pay-as-you-go) | Stacknodo ($9/mo) | |
|---|---|---|---|---|
| Get a REST API | DIY (PostgREST) | DIY | SDK-only | Auto-generated |
| Auth setup | ~30 min config | DIY | ~1 hour | Built-in, 2 clicks |
| Row-level security | Write SQL policies | DIY | Write Firestore rules | Visual toggle |
| Schema changes | Write migrations | Write migrations | Schemaless | Visual editor |
| File handling | Separate Storage API | DIY | Separate Cloud Storage | Same API + same RLS |
| Environments | Extra setup | Branches | Separate projects | Built-in + promote |
| AI agent API | DIY OpenAI + RAG | DIY | DIY Vertex / OpenAI | Built-in, schema-aware |
| Project AI chat | Separate tooling | Separate tooling | Separate tooling | Built into Studio |
| Coding-agent support | DIY prompts | DIY prompts | DIY prompts | Live schema + docs |
| Backups / restore | Varies by plan | DIY | Export / import | Snapshots + restore |
| API documentation | DIY | DIY | DIY | Auto-generated Swagger |
| Data export | pg_dump | pg_dump | JSON per collection | SQL dump + schema ZIP |
| Time to production | 2–4 hours | 4–8 hours | 2–6 hours | ⚡ 5 minutes |
Agent-Native Extras
Built in
Schema-aware, file-aware AI queries with streaming responses and managed tiers. Your project context is injected automatically.
Inside Studio
Ask about tables, RLS rules, event logs, and API behavior without copy-pasting context into a separate tool.
For Copilot / Cursor
Live docs and schema can be fetched over HTTP, so generated code stays aligned with the real project instead of stale local notes.
Complete production backend. No surprise bills. No hidden limits.
Build real things, for free, forever.
Your side project just became real.
Everything in Free, plus:
For production apps that need to scale.
Everything in Starter, plus:
Collaborate with your team at scale.
Everything in Pro, plus:
Need more? Enterprise plans with dedicated infrastructure, SSO, SLA, and custom limits. Contact us →
Paid plans allow overage beyond plan limits — API requests billed at €0.50/100K, DB storage at €0.20/GB, file storage at €0.30/GB. Extend limits anytime with add-on packages.
Full comparison
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