Nope. Everything is defined in JSON. Everything is open source. You know exactly what’s happening under the hood — and if you want to change something, you can.

No codegen. Nothing to regenerate. The APIs are driven at runtime from your definitions — not baked into generated files you’ll regret touching.

Not at all. Keep your stack, your frameworks, your auth — DataEnd drops in as infra you control. Use it for one service or a hundred.

It saves you time. You're not just writing less code — you're deleting entire categories of code: scaffolding, validators, retries, permissions, and more.

Yes. It’s running across multi-tenant systems right now — millions of records, high-write throughput, async workloads. We built it for scale from day one.

No. It handles complex relationships, async ingest, batching, validation, eventing, auth — the boring infra behind real systems. CRUD is just the surface.

DataEnd is for senior engineers building systems at scale. Open source, no vendor lock-in, and works with the stack you already use. This isn’t Firebase for MVPs, but it is just as easy to use.

The code is yours. MIT licensed. Self-hostable. No dependencies on us unless you want them. That’s the whole point.

Every request, every job, every event is tracked and visible. You can log, trace, and test everything — it’s designed for ops and observability.

You write it like you always do — in your own service, triggered via events, async jobs, or permission hooks. You keep full control over the flow.

Yes. You can create new tables, evolve old ones, and serve both side by side. All IDs are globally unique, so you can version cleanly and explicitly.

Absolutely. DataEnd supports custom tokens, RBAC, and organization-specific permissions. Plug in your own identity provider.

You update your JSON, publish a new version, and apply it to your environments. Everything is declarative and trackable. You decide how aggressive or staged it is.

Locally, in CI, however you want. You can run it in-memory or against a test store. Everything is API-driven and predictable.

Yes. Model definitions are just files. Validate them, diff them, test them — and deploy like any other part of your stack.

Because you control everything — the data models, the stores, the infra. It’s open. It’s auditable. And it plays nicely with the rest of your system.

It’s been running in production across dozens of microservices in our own platform for a year. It replaced thousands of lines of backend code — and it works.

No. You can run it in a distributed way, across services and stores. It’s horizontally scalable and cloud-native from day one.

Yes. We’ve built real systems with referential integrity across collections, async pipelines, RBAC, data cloning, and event-driven jobs. This is not a toy.

You stop writing and maintaining infrastructure code — period. CRUD, validation, ingest, auth, events — it’s all already built. You define your data, and you're done.

Firebase is great for MVPs, but it becomes hard to manage at scale — especially around unstructured data, implicit rules, and lock-in.

DataEnd is built for engineers who want full control: structured models, versionable schema, auditability, and optional self-hosting. This is for long-lived systems, not just prototypes.

Supabase gives you a Postgres backend and wraps it with APIs and auth. It’s a great all-in-one dev environment — if Postgres is all you need.

DataEnd is database-agnostic, works across stores, supports NoSQL, and isn’t tied to any one engine. You define your schema in JSON and run it anywhere — not just on our hosted stack.

DataEnd isn’t low-code. It’s structured backend infrastructure for engineers who care about data modeling, scale, and maintainability.

There’s no drag-and-drop UI. No magic builder. Just clean JSON in, fully working APIs and pipelines out — and you keep full control.