Connections - Docs

Connections overview

Connections are how you connect your data with Faraday. By default, you can create a Faraday connection to your database, data warehouse, or cloud bucket. For an additional cost, a connection can also be made to your CRM, ESP, or some other software via Faraday-managed connection.

Connections can serve as both the beginning and end of your data's journey in Faraday. When a connection is created, your data–wherever your connection is–can be used to create datasets, where you'll define event streams and traits that are then used to build cohorts. From then, you'll create your predictions: outcomes, personas, and recommenders. Last, you'll create pipelines to deploy predictions back to a connection you've made, or to CSV.

For connection creation instructions using both the Dashboard UI and API, see our how-to docs for connections.

👍Key takeaway: connections

Connections are how you connect your first-party data with Faraday. You'll use them to pull your data into Faraday, then create datasets to describe your data. On the other end, you can use connections to push your customer predictions back to your stack.

Faraday-managed connections

Faraday-managed connections can be created at an additional cost to either to pull data from or deploy predictions to other, non-database software within your stack, such as an ESP, CRM, or ad platform. To create a Faraday-managed connection, use the appropriate section while creating a new connection in Dashboard, or using the API via the option parameter in the createconnection API request.

Once you create the connection, please create a support ticket so that a Faraday support team member can initiate the connection on Faraday's side.

Faraday's public key

If you are encrypting your files before sending to Faraday, please use this public key:

Faraday's IP allowlist

When creating a connection in Faraday, be sure that the below list of IP addresses are added to your organization's allowlist, otherwise any connection you configure may fail or go stale.

34.86.175.54
34.86.252.230
34.145.239.81
35.245.199.181
52.22.91.248
52.23.137.21
52.204.223.208
52.204.228.32
52.204.230.227

Deleting or archiving a connection

Before deleting a connection, ensure that all resources using it, such as an event stream, any cohorts using those event streams, any outcomes using those cohorts, etc, are no longer using it. Once there are no other resources using the connection, you can safely delete it.

Dashboard: click the ... menu on the far right of the connection you'd like to delete or archive (or the upper right while viewing a specific one), then click the relevant option.
API: use the delete connection or archive connection API requests.

📘Deleting and archiving resources

See object preservation for more info on deleting and archiving resources.