Effortless data storage

No Schemas, No Migrations - Just Simplicity!

Traverzer combines the speed of a graph database with the flexibility of GraphQL, all powered by standard JSON. Unlock rapid data querying and changes with familiar tools, making it easy to build applications.

Join the excitement

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async function saveUserData() {
    try {
        const response = await fetch('https://api.traverzer.tech', {
            method: 'PUT',
            headers: {
                'Content-Type': 'application/json'
            },
            body: JSON.stringify({
                user: {
                  username: "johndoe",
                  email: "johndoe@example.com",
                  profile: {
                    name: "John Doe",
                    address: {
                      street: "123 Main St",
                      city: "Somewhere",
                      state: "CA",
                      postalCode: "90210",
                      country: "USA"
                    },
                  }
                }
            })
        });

        if (!response.ok) {
            throw new Error('Error: ${response.status}');
        }

    } catch (error) {
        console.error('Failed to save data:', error);
    }
}

Why choose Traverzer

Pivot Faster

Modify data structures on the fly, eliminating the need for migrations and enabling quick adaptations to new features and business changes.

Remove Maintenance

By eliminating schema management, development teams can shift their focus from maintaining the structure of data to utilizing it.

Reduce Errors

Even small changes can lead to complex migration scripts that need to be tested and rolled out. Each migration introduces a risk of data loss, corruption, or downtime.

Simplify Code

Your code becomes streamlined with pure JavaScript—no need for libraries or SDKs. Just straightforward, easy-to-use JSON for effortless development.

Predict Costs

Understanding your database costs couldn't be simpler. Just tell us how many records you need to store, and you'll know exactly what you're spending.

Rapidly Adopt

Embracing this new way of working with data is as seamless as a simple JavaScript fetch request—quick, intuitive, and hassle-free.

How much time would you save if you didn't have to manage your data?

Data schema management has long been a cornerstone of traditional database design, but as modern applications and data needs have evolved, schema management has become increasingly difficult and, in many cases, entirely unnecessary.

Ongoing costs of schema management

Rigid structure inhibits flexibility

Stifles innovation and iteration

Schemas become outdated quickly

APIs like GraphQL remove the need for rigid schemas

For modern applications, schema management is not just hard—it's unnecessary. Embracing schema-less or flexible data models allows businesses to scale, evolve, and innovate without being weighed down by the constraints of rigid data structures.

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const express = require('express');
const mongoose = require('mongoose');
const bodyParser = require('body-parser');

// Initialize the Express app
const app = express();
app.use(bodyParser.json()); // Parse JSON data

// Connect to MongoDB
mongoose.connect('mongodb://localhost:27017/mydatabase', { useNewUrlParser: true, useUnifiedTopology: true })
    .then(() => console.log('Connected to MongoDB'))
    .catch((err) => console.error('Failed to connect to MongoDB', err));

// Define a Mongoose schema and model
const userSchema = new mongoose.Schema({
    name: String,
    email: String,
    age: Number,
});

const User = mongoose.model('User', userSchema);

// API endpoint to save user data to the database
app.post('/api/users', async (req, res) => {
    try {
        // Create a new user instance with the request body data
        const user = new User({
            name: req.body.name,
            email: req.body.email,
        });

        // Save the user to the database
        const savedUser = await user.save();

        res.status(201).json(savedUser);
    } catch (error) {
        res.status(500).json({ message: 'Error saving user', error });
    }
});

// Start the server
const port = process.env.PORT || 3000;
app.listen(port, () => {
    console.log('Server running on port ${port}');
});

Works perfectly with your semantics.

Embracing this new way of working with data is as seamless as a simple JavaScript fetch request—quick, intuitive, and hassle-free.

Name your objects
Add any data
Call the endpoint

Loading editor...

async function saveUserData() {
    try {
        const response = await fetch('https://api.traverzer.tech', {
            method: 'PUT',
            headers: {
                'Content-Type': 'application/json'
            },
            body: JSON.stringify({
                user: {
                  username: "johndoe",
                  email: "johndoe@example.com",
                  profile: {
                    name: "John Doe",
                    address: {
                      street: "123 Main St",
                      city: "Somewhere",
                      state: "CA",
                      postalCode: "90210",
                      country: "USA"
                    },
                  }
                }
            })
        });

        if (!response.ok) {
            throw new Error('Error: ${response.status}');
        }

    } catch (error) {
        console.error('Failed to save data:', error);
    }
}