Setting up the backend for a new application often feels like a ritualistic chore. You provision a database, write migration scripts, configure an Object-Relational Mapper (ORM), and then meticulously craft API endpoints for every single Create, Read, Update, and Delete (CRUD) operation. This foundational work, while necessary, consumes hours—or even days—that could be spent building the features that truly matter.
But what if you could compress that entire process from days into minutes? What if you could interact with your data layer using simple, intuitive commands, either in natural language or through a clean API, without writing a single line of SQL?
This isn't a far-off dream; it's the new reality powered by AI-native data platforms. Welcome to the 5-minute data layer with database.do.
Traditionally, interacting with your database means navigating a labyrinth of complexity. Developers become impromptu database administrators, wrestling with different query syntaxes for PostgreSQL, MySQL, or MongoDB, and writing endless boilerplate code to expose data to the frontend.
The AI-native approach flips this model on its head. Instead of you translating your intentions into complex code, the platform does it for you. With an AI-native data layer, you can:
This paradigm shift reduces your backend codebase, accelerates development cycles, and lets you focus on application logic instead of data plumbing.
The core of database.do is its ability to understand your intent. It acts as an intelligent translator between your application and your database. Whether you need to find all users who signed up last week from a specific region or run a complex join across multiple tables, you don't need to be a SQL guru.
Our platform translates structured API calls or even natural language prompts into optimized, secure database queries.
Consider how you'd typically fetch specific user data. You might write a complex SQL query or chain several ORM methods. With database.do, it's as simple as this:
import { Database } from '@do/sdk';
// Connect to your database agent
const db = new Database('YOUR_DATABASE_ID');
// Find all active users named 'Jane Doe'
const activeJanes = await db.search({
from: 'users',
where: {
name: 'Jane Doe',
status: 'active'
},
limit: 10
});
console.log(activeJanes);
In this example, the SDK handles everything: secure connection, query construction, and execution. You simply describe what you want, and the AI-native engine figures out how to get it. This is the essence of "Database as Code"—an expressive, declarative way to manage your data layer.
While AI-powered search is a game-changer, a complete data layer requires full CRUD capabilities. database.do provides a simple and consistent Data Access API to Create, Read, Update, and Delete records in any connected database.
This unified interface is a massive productivity boost. You no longer need to remember the specific syntax for inserting a document in MongoDB versus a row in PostgreSQL. The API abstracts this away, providing you with a single, reliable way to perform all standard database operations. You write the code once, and it works seamlessly, even if you decide to migrate your underlying database later.
We get it—handing over data access to an API can raise a few questions. Here are the answers to some common ones.
database.do supports a wide range of popular SQL and NoSQL databases, including PostgreSQL, MySQL, and MongoDB. You can also interact with vector databases for advanced AI applications, making it a future-proof choice for any data-driven project.
Our platform translates your natural language requests or structured API calls into highly optimized, native database queries. This allows you to perform complex searches and intricate data retrieval without writing a single line of SQL or worrying about performance.
Absolutely. Security is our top priority. All connections are encrypted end-to-end. Access is managed through secure, revocable API keys and granular, role-based permissions, ensuring your data is always protected and only accessible by authorized services.
Yes. database.do provides simple and consistent API endpoints to Create, Read, Update, and Delete records in any connected database. This abstracts away the underlying database-specific syntax, simplifying your code and making your data layer more maintainable.
The days of laborious backend setup are over. With an AI-native approach, you can build a robust, secure, and incredibly efficient data layer in the time it takes to grab a coffee. By simplifying data access with a powerful API and intelligent search, you can reclaim your time and accelerate your development workflow like never before.
Ready to stop wrestling with boilerplate and start building?
Explore database.do today and build your 5-minute data layer.