Connect Heroku and BigML to Build Intelligent Automations

Choose a Trigger

Heroku

When this happens...

Choose an Action

BigML

Automatically do this!

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for Heroku

Do thisActions

Action is the task that follows automatically within your Heroku integrations.

Get Account Info

Get Account Info

Get account information.

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

Create Prediction

Create Prediction

Predict using a model , logistic regression or deepnets

Find Resource

Find Resource

Finds a resource

List Sources

List Sources

Get all the sources.

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between Heroku and BigML?

To start, connect both your Heroku and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Heroku triggers actions in BigML (or vice versa).

Can we customize how data from Heroku is recorded in BigML?

Absolutely. You can customize how Heroku data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Heroku and BigML?

The data sync between Heroku and BigML typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Heroku to BigML?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Heroku and BigML?

Yes, you can set conditional logic to control the flow of data between Heroku and BigML. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Heroku

About Heroku

Heroku is a cloud platform that enables companies to build, run, and operate applications entirely in the cloud. It provides a range of services for deploying, managing, and scaling apps, making it easier for developers to focus on writing code without worrying about infrastructure.

Learn More
BigML

About BigML

BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.

Learn More