• Source
  • Product Analytics
  • Alpha

Move Stigg data anywhere it matters.

Stream Stigg customers and subscriptions to any warehouse or AI app.

Source

Stigg

  • Snowflake
  • BigQuery
  • Postgres
  • Databricks
  • Claude
Streams
2
Destinations
50+
Standard support
0.0.27

Overview

What is the Airbyte Stigg connector?

The Airbyte Stigg connector extracts data from Stigg and loads it into 50+ destinations such as Snowflake, BigQuery, Databricks or Postgres, with full refresh. It publishes 2 streams you can select per connection.

  • 01

    Sync to your warehouse

    Land 2 Stigg tables in 50+ destinations on a schedule you control.

  • 02

    One authorization

    Authenticate Stigg once and Airbyte keeps every scheduled sync running on it.

  • 03

    Cloud or self-hosted

    Run the Stigg connector on Cloud, OSS, Hybrid.

2 streams

Every table you can sync from Stigg

  • Customers
    Sync modesFullIncr.
  • Subscriptions
    Sync modesFullIncr.

Setup

Live in three steps

  1. Log in to your Stigg dashboard

  2. Navigate to Settings > Account > Environments

  3. Copy the Server API key for the relevant environment

Configuration fields

Stigg configuration fields
FieldTypeDescription
api_key*stringYour Stigg Server API Key. You can find this in your Stigg dashboard under Settings > API Keys.

Hybrid deployment

Sovereign by architecture, not by policy.

The data plane runs in your environment. Records, credentials and keys stay with you; the control plane only receives configuration and job metadata.

  • Cloud
  • OSS
  • Hybrid

Your environment

DataConnectorsCredentialsKeys

↕ metadata only

Airbyte control plane

OrchestrationMonitoringUI

FAQ

Stigg connector questions

What data can I sync from Stigg with Airbyte?

2 streams: Customers, Subscriptions.

Does the Stigg connector support incremental sync?

The Stigg connector supports full refresh sync. Check the stream list on this page for incremental support per table.

Where can I run the Stigg connector?

Run the Stigg connector on Cloud, OSS, Hybrid. Hybrid deployments keep the data plane in your environment while the control plane orchestrates syncs.

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