Real-time Data Pipelines for Reporting and Analytics

No more writing and maintaining scripts to fetch data, focus on bigger things.
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Any Source, Any destination - Explore the SOURCES we integrate with.
Mysql MySQL
Postgres PostgreSQL
Mongo MongoDB
Cassandra Cassandra
Redshift Redshift
S3 Amazon S3
Mixpanel alt Mixpanel
Salesforce Salesforce

Building data pipelines. Simplified.

Hevo helps you bring data together into warehouse of your choice, in real-time.
Ease of use

Ease of Use

  • Get started in minutes
  • 100’s of prebuilt data connectors
  • Fully managed service, no maintenance
Reliability

Reliability

  • Zero data loss, no data events get missed
  • Handles changing schema and data types
  • Infrastructure that scales with your needs
Flexibility and control

Flexibility and Control

  • Complete tool kit to build your pipelines
  • Monitor status of your pipelines in real-time
  • Alerts and Notifications on Slack and Email

Perfect solution for all your analytics needs

Hevo empowers your analytics, data science and business teams by making data available at all times.
Reporting

Reporting

Get daily reports and dashboard up in a trice and identify the right questions to ask.

Reporting

Adhoc Analysis

Write SQL queries to analyze your data and answer business questions.

Reporting

Power Analysis

Build data science models to hypothesize, experiment and implement.

Keep track of your customer touchpoints

Capture clickstream data using SDK of your choice
  • Android
  • iOS
  • Python
  • Javascript
  • Java
  • Rails
Java
private static final String HEVO_TOKEN = "YOUR_HEVO_TOKEN";

private void trackEvent(){
    Hevo hevo = Hevo.getInstance(this, HEVO_TOKEN);

    JSONObject props = new JSONObject();
    props.put("item_name", "Lord of The Rings");
    props.put("order_value", 19);
    props.put("currency", "USD");
    hevo.track("Order Placed", props);
}

      
Swift
static let HEVO_TOKEN = "YOUR_HEVO_TOKEN"

// AppDelegate.swift
func application(_ application: UIApplication,
        didFinishLaunchingWithOptions launchOptions: [NSObject: AnyObject]?)
        -> Bool {
    Hevo.initialize(token: HEVO_TOKEN)
}

func trackEvent() {
    let event = "Order Placed"
    let props = ["item_name": "Lord of The Rings",
        "order_value": 19,
        "currency": "USD"]

    Hevo.mainInstance().track(event: ev, properties: p)
}

      
Python
import hevo

hevo.init("YOUR_HEVO_TOKEN");

hevo.track('Order Placed', {
  'item_name': 'Lord of The Rings',
  'order_value': 19,
  'currency': 'USD',
})

      
Javascript
Hevo.init("YOUR_HEVO_TOKEN");

Hevo.track('Order Placed', {
  'item_name': 'Lord of The Rings',
  'order_value': 19,
  'currency': 'USD',
});

      
Java
private static final String HEVO_TOKEN = "YOUR_HEVO_TOKEN";

private void trackEvent(){
    Hevo hevo = Hevo.getInstance(this, HEVO_TOKEN);

    JSONObject props = new JSONObject();
    props.put("item_name", "Lord of The Rings");
    props.put("order_value", 19);
    props.put("currency", "USD");
    hevo.track("Order Placed", props);
}

      
Ruby
require 'hevo'

Hevo = Hevo.new('YOUR_HEVO_TOKEN')

Hevo.track('Order Placed', {
    'item_name' => 'Lord of The Rings',
    'order_value' => 19,
    'currency' => 'USD',
})

      

Hear what our customers are saying

Swiggy img
"With Hevo, the process of bringing data, no matter what source or format, has become simpler and error-free. Our analysts are now busy building models and deriving insights instead of worrying about data availability"
Vivek Garg
Lead, Data Engineering
Curefit img
"Hevo solved one of my core needs - getting complex data transformations done on the fly with ease. Quick integrations with complete flexibility and control makes Hevo a perfect complement to our data engineering team."
Swati Singhi
Lead Data Engineer, Cure.Fit
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"Hevo is super quick to get going. Within minutes the data was flowing from a couple of sources to Redshift. Extensive documentation and a prompt support makes going live a breeze."
Gaurav Gupta
VP Technology

Developers Love Hevo

Connect. Transform. Monitor. March on.
Extensive Documentation

Extensive Documentation

Get access to all developer documentation around creating and managing pipelines with different data sources

Extensive Documentation

Live Monitoring

Get real-time visibility into your pipelines and be on top of issues.

Extensive Documentation

Amazing Support

Our engineers don't hide behind support guys. We will be with you 24/7 to make your project a success.

Read what our engineers are saying

Understanding the Data Analytics Stack

An analytics stack is the backbone of a data-driven organisation. This blog talks about the key components in a data analytics stack that every member in the company should be aware of.

Redshift vs BigQuery, choosing the right data warehouse

As analytics in your company graduates from a MySQL/PostgreSQL/SQL Server, a pertinent question that you need to answer is which data warehouse is best suited for you. In this blog, we have compared the two most popular data warehouses: Amazon Redshift and Google BigQuery.

How we ensure Zero Data Loss at Hevo

If you are a data engineer or a data analyst, you would know how data reliability is a big problem in business analytics. In this blog, we talk about how Hevo helps companies build reliable, fault-tolerant data pipelines.

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Organise your DATA efficiently with Hevo.

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