The value of data is higher than ever before. End-users and business leaders increasingly demand real-time experiences. dataBridges makes it easy for businesses to bring real-time features to browsers, mobile apps, servers, and other devices.
Incorporating real-time event-driven architecture into your enterprise data strategy makes data more fluidly available in real-time, accelerating your delivery agility and improving your business insights.
Publish real-time data to hundreds of thousands of consumers efficiently with our scalable messaging infrastructure feature called Channels .
Channels allows your apps and devices to exchange mission critical messages realtime in a trust-safe manner. Public, Private, Presence and System channel types gives you design and deploy brilliant realtime application without sacrificing security.
Enable reliable two-way messaging between multiple endpoints, building sophisticated asynchronous interactions.
RPC (call/response) feature provide reliable two-way messaging between multiple endpoints allowing you to build sophisticated asynchronous interactions. We have taken great efforts to deliver high quality SDKs that perform brilliantly on high load as well.
Control your application's authorization flows using industry-standard JSON Web Tokens (JWT) for secure communication.
Trust Token is the most important and core feature of dataBridges. Applications should be able to trust the source of the messages it receives and at the same time trust that the messages it sends is only delivered to trusted participants.
Leverage our years of experience running large-scale distributed applications with millions of messages.
Open-source client libraries designed with developer experience in mind, supporting all major platforms.
Comprehensive insights into your real-time application performance with built-in monitoring and analytics.
Optomate Technologies, the team behind dataBridges, have engineered and successfully run very large and complex distributed applications.
Connect your enterprise ecosystem with real-time capabilities and deliver innovative digital experiences.
Connect your data sources and applications (both in-house and in cloud) using dataBridges library to form a collaborative application ecosystem.
Easily incorporate real-time event-driven messaging into your applications allowing your existing systems and backend participate in new digital services.
Web and mobile applications have become the interfaces for customer interactions. Reduce the complexity, cost and timeframe to bring out new digital services by plugging into the trust-safe realtime messaging platform.
Instantly push data to your applications. Create new realtime API and at the same time augment your existing API with realtime capability using dataBridges.
Our open-source SDKs are designed with developer experience in mind. Get started with real-time features in minutes, not hours.
// JavaScript - Real-time Chat Application
const dbridge = new dBridges();
dbridge.appkey = "YOUR_APP_KEY";
dbridge.auth_url = "YOUR_AUTH_URL";
// Connect to dataBridges
await dbridge.connect();
// Subscribe to chat channel
const chatChannel = dbridge.channel.subscribe('chat-room');
// Listen for new messages
chatChannel.bind('new-message', (message) => {
console.log('New message:', message);
displayMessage(message);
});
// Send a message
function sendMessage(text) {
chatChannel.publish('new-message', {
user: getCurrentUser(),
text: text,
timestamp: Date.now()
});
}# Python - Real-time Data Streaming
import databridges_sio_client as dataBridges
# Initialize connection
dbridge = dataBridges.dBridges()
dbridge.appkey = "YOUR_APP_KEY"
dbridge.auth_url = "YOUR_AUTH_URL"
# Connect to dataBridges
await dbridge.connect()
# Subscribe to data stream
data_channel = dbridge.channel.subscribe('sensor-data')
# Process incoming sensor data
def handle_sensor_data(payload):
sensor_id = payload['sensor_id']
temperature = payload['temperature']
# Process and store data
process_temperature_reading(sensor_id, temperature)
# Trigger alerts if needed
if temperature > THRESHOLD:
trigger_alert(sensor_id, temperature)
data_channel.bind('temperature', handle_sensor_data)// Node.js - Real-time Notifications
const dBridges = require('databridges-sio-client-lib');
const dbridge = new dBridges();
dbridge.appkey = "YOUR_APP_KEY";
dbridge.auth_url = "YOUR_AUTH_URL";
// Connect and setup notification system
dbridge.connect().then(() => {
console.log('Connected to dataBridges');
// Subscribe to user notifications
const notifications = dbridge.channel.subscribe('user-notifications');
// Handle different notification types
notifications.bind('order-update', (data) => {
sendPushNotification(data.userId, {
title: 'Order Update',
message: `Your order #${data.orderId} has been ${data.status}`
});
});
notifications.bind('system-alert', (data) => {
broadcastSystemAlert(data.message, data.severity);
});
}).catch(err => {
console.error('Connection failed:', err);
});// JavaScript - RPC Client calling remote function
const dbridge = new dBridges();
dbridge.appkey = "YOUR_APP_KEY";
dbridge.auth_url = "YOUR_AUTH_URL";
// Connect to dataBridges
await dbridge.connect();
// Call remote function and get response
async function getUserProfile(userId) {
try {
const response = await dbridge.rpc.call('getUserProfile', userId);
console.log('User profile:', response);
return response;
} catch (error) {
console.error('RPC call failed:', error);
throw error;
}
}
// Register a function to be called remotely
dbridge.rpc.register('calculateTotal', (orderData, response) => {
const total = orderData.items.reduce((sum, item) => {
return sum + (item.price * item.quantity);
}, 0);
response.end(total);
});# Python - RPC Server providing remote functions
import databridges_sio_client as dataBridges
import json
# Initialize connection
dbridge = dataBridges.dBridges()
dbridge.appkey = "YOUR_APP_KEY"
dbridge.auth_url = "YOUR_AUTH_URL"
# Connect to dataBridges
await dbridge.connect()
# Register function to handle user profile requests
def get_user_profile(user_id, response):
try:
# Fetch user data from database
user_data = database.get_user(user_id)
if user_data:
response.end(json.dumps({
'success': True,
'user': user_data
}))
else:
response.exception('USER_NOT_FOUND', 'User not found')
except Exception as e:
response.exception('DATABASE_ERROR', str(e))
# Register the RPC function
dbridge.rpc.register('getUserProfile', get_user_profile)// Node.js - RPC for Microservices Communication
const dBridges = require('databridges-sio-client-lib');
const dbridge = new dBridges();
dbridge.appkey = "YOUR_APP_KEY";
dbridge.auth_url = "YOUR_AUTH_URL";
// Connect and setup RPC services
dbridge.connect().then(() => {
console.log('RPC service connected');
// Register payment processing function
dbridge.rpc.register('processPayment', async (paymentData, response) => {
try {
// Validate payment data
if (!paymentData.amount || !paymentData.cardToken) {
response.exception('INVALID_DATA', 'Missing payment information');
return;
}
// Process payment through payment gateway
const result = await paymentGateway.charge({
amount: paymentData.amount,
token: paymentData.cardToken,
currency: paymentData.currency || 'USD'
});
// Return success response
response.end(JSON.stringify({
success: true,
transactionId: result.id,
status: result.status
}));
} catch (error) {
response.exception('PAYMENT_FAILED', error.message);
}
});
}).catch(err => {
console.error('RPC service connection failed:', err);
});Join thousands of developers building the next generation of real-time experiences with dataBridges.