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Connect BigML to Supabase

Automate workflows and sync data between BigML and Supabase with AI-powered automation

5-minute setup
Enterprise secure
No coding required

Why Connect BigML & Supabase?

Intelligent Automation Workflows

Leverage 2 available triggers from BigML to execute 8 targeted actions in Supabase automatically.

Eliminate Manual Data Entry

Replace time-consuming manual processes with intelligent automation that keeps BigML and Supabase perfectly synchronized.

Real-time Business Intelligence

Create a unified data flow between BigML and Supabase for instant insights and improved decision-making across your tech stack.

Available Triggers & Actions

BigML logo

BigML

Triggers (2)

New Model Created

Emit new event for every created model. See docs here.

polling
New Prediction Made

Emit new event for every made prediction. See docs here.

polling

Actions (3)

Create Batch Prediction

Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.

Create Model

Create a model based on a given source ID, dataset ID, or model ID. See the docs.

Create Source (Remote URL)

Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.

Supabase logo

Supabase

Triggers (2)

New Row Added

Emit new event for every new row added in a table. See documentation here

polling
New Webhook Event (Instant)

Emit new event for every insert, update, or delete operation in a table. This source requires user configuration using the Supabase website. More information in the README. Also see documentation here

webhook

Actions (8)

Batch Insert Rows

Inserts new rows into a database. See the documentation

Count Rows

Counts rows in a database table, with optional filtering conditions. See the docs here

Delete Row

Deletes row(s) in a database. See the docs here

Insert Row

Inserts a new row into a database. See the docs here

Remote Procedure Call

Call a Postgres function in a database. See the docs here

Select Row

Selects row(s) in a database. See the docs here

Update Row

Updates row(s) in a database. See the docs here

Upsert Row

Updates a row in a database or inserts new row if not found. See the docs here

Integration Features

Real-time data synchronization
Bi-directional sync capabilities
Custom field mapping
Advanced filtering options
Error handling & retry logic
Activity monitoring & logs

Popular Workflows

When BigML trigger → Create/Update in Supabase

Most Popular
BigMLBigML

New Model Created

SupabaseSupabase

Batch Insert Rows

When Supabase trigger → Update BigML

Bi-directional
SupabaseSupabase

New Row Added

BigMLBigML

Create Batch Prediction

How It Works

1

Connect Apps

Authenticate your BigML and Supabase accounts

2

Map Fields

Choose which data fields to sync between apps

3

Set Triggers

Define when and how data should be synchronized

Automate

Sit back and let AI handle the automation

Frequently Asked Questions

Integration Benefits

Real-time Data Sync

Automatic synchronization between BigML and Supabase with 4 public triggers available for instant updates.

Automated Actions

Execute 11 public actions automatically across both platforms without manual intervention.

Enterprise Security

Industry-standard encryption, OAuth 2.0 authentication, and SOC 2 compliance for secure data transfer.

Quick Setup

Connect BigML and Supabase in minutes with our guided setup wizard and pre-configured templates.

Custom Field Mapping

Map any field between BigML and Supabase with intelligent suggestions and validation.

Error Handling

Automatic retry logic, detailed error logs, and smart notifications keep your integration running smoothly.

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Reverse Integration Available

Also connect Supabase to BigML for bidirectional automation

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All Supabase Integrations

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