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Reddit Ads connector

Beta

This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.

The managed Reddit Ads connector in Lakeflow Connect allows you to ingest data from Reddit Ads into Databricks.

Feature availability

Feature

Availability

UI-based pipeline authoring

Green check icon Supported

API-based pipeline authoring

Green check icon Supported

Declarative Automation Bundles

Green check icon Supported

Incremental ingestion

Green check icon Partially supported

Report tables support incremental ingestion. Entity tables are fully refreshed on each update.

Unity Catalog governance

Green check icon Supported

Lakeflow Jobs

Green check icon Supported

SCD type 2

Red X icon Not supported

Column selection and deselection

Green check icon Supported

You can select specific tables.

API-based row filtering

Red X icon Not supported

Automated schema evolution: New and deleted columns

Red X icon Not supported

Automated schema evolution: Data type changes

Red X icon Not supported

Automated schema evolution: Column renames

Red X icon Not supported

Automated schema evolution: New tables

N/A

Feature

Availability

UI-based pipeline authoring

Green check icon Supported

API-based pipeline authoring

Green check icon Supported

Declarative Automation Bundles

Green check icon Supported

Incremental ingestion

Green check icon Partially supported

Report tables support incremental ingestion. Entity tables are fully refreshed on each update.

Unity Catalog governance

Green check icon Supported

Lakeflow Jobs

Green check icon Supported

SCD type 2

Red X icon Not supported

Column selection and deselection

Green check icon Supported

You can select specific tables.

API-based row filtering

Red X icon Not supported

Automated schema evolution: New and deleted columns

Red X icon Not supported

Automated schema evolution: Data type changes

Red X icon Not supported

Automated schema evolution: Column renames

Red X icon Not supported

Automated schema evolution: New tables

N/A

Authentication methods

Authentication method

Availability

OAuth U2M

Green check icon Supported

OAuth M2M

Red X icon Not supported

OAuth (manual refresh token)

Red X icon Not supported

Basic authentication (username/password)

Red X icon Not supported

Basic authentication (API key)

Red X icon Not supported

Authentication method

Availability

OAuth U2M

Green check icon Supported

OAuth M2M

Red X icon Not supported

OAuth (manual refresh token)

Red X icon Not supported

Basic authentication (username/password)

Red X icon Not supported

Basic authentication (API key)

Red X icon Not supported

What to know before you start

Topic

Why it matters

Databricks user persona

The workflow depends on your Databricks user persona:

  • Single-user: An admin user creates a Unity Catalog connection and an ingestion pipeline.
  • Multi-user: An admin user creates a connection for non-admin users to create pipelines with.

Authentication method

The steps to create a connection depend on the authentication method you choose.

Interface

The steps to create a pipeline depend on the interface.

Ingestion frequency

The pipeline schedule depends on your latency and cost requirements.

Common patterns

Depending on your ingestion needs, the pipeline might use configurations like history tracking, column selection, and row filtering. Supported configurations vary by connector. See Feature availability.

Topic

Why it matters

Databricks user persona

The workflow depends on your Databricks user persona:

  • Single-user: An admin user creates a Unity Catalog connection and an ingestion pipeline.
  • Multi-user: An admin user creates a connection for non-admin users to create pipelines with.

Authentication method

The steps to create a connection depend on the authentication method you choose.

Interface

The steps to create a pipeline depend on the interface.

Ingestion frequency

The pipeline schedule depends on your latency and cost requirements.

Common patterns

Depending on your ingestion needs, the pipeline might use configurations like history tracking, column selection, and row filtering. Supported configurations vary by connector. See Feature availability.

Start ingesting from Reddit Ads

The following steps provide an overview of the end-to-end Reddit Ads ingestion flow:

  1. Configure Reddit Ads for ingestion (Admins) — Set up Reddit Ads to authenticate with Databricks.
  2. Create a Unity Catalog connection (Admins) — Create a connection in Catalog Explorer so non-admins can create pipelines.
  3. Create an ingestion pipeline (Admins or non-admins) — Select any supported interface and create a pipeline from an existing connection.