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[Reference Tables Docs] Mention the new public API in the Cloud Storage Reference Table documentation #33729

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g-brizolier merged 2 commits into from
Jan 8, 2026
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[Reference Tables Docs] Mention the new public API in the Cloud Storage Reference Table documentation #33729

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add API doc phrases to Ref Tables docs
g-brizolier Jan 8, 2026
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26 changes: 24 additions & 2 deletions content/en/reference_tables/_index.md
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Expand Up @@ -104,7 +104,7 @@ Click **New Reference Table +**, then add a name, select Amazon S3, fill out all
[1]: https://app.datadoghq.com/account/settings#integrations/amazon-web-services
[2]: https://docs.datadoghq.com/integrations/amazon_web_services/?tab=automaticcloudformation#installation

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{{% collapse-content title="Azure storage" level="h4" id="azure-storage" %}}

1. If you haven't already, set up the [Azure integration][1] within the subscription that holds the storage account from which you want to import your Reference Table. This involves [creating an app registration that Datadog can][2] integrate with.
Expand All @@ -128,7 +128,7 @@ For more information, see the [Azure integration documentation][4].
[3]: https://learn.microsoft.com/en-us/azure/role-based-access-control/built-in-roles#storage-blob-data-reader
[4]: /integrations/azure/

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{{% collapse-content title="Google Cloud storage" level="h4" id="google-cloud-storage" %}}

### Google Cloud storage
Expand Down Expand Up @@ -158,6 +158,28 @@ After reviewing and assigning the role, you can import into Reference Tables fro
[1]: /integrations/google_cloud_platform/#setup
[2]: /integrations/google_cloud_platform/#1-create-your-google-cloud-service-account

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{{% collapse-content title="API or Terraform" level="h4" id="api-or-terraform" %}}

Create reference tables programmatically using the [Datadog API][8] or the [Datadog Terraform provider][9].

**Note**: The API and Terraform provider support the same file size limits as cloud storage uploads. See [Reference Table limits](#reference-table-limits) for details.

### API

Use the [Create Reference Table endpoint][10] to create reference tables from cloud storage or local files.
- For cloud storage sources (S3, Azure, GCS), provide `access_details` in `file_metadata` pointing to a CSV file in cloud storage.
- For local files, call `POST /api/latest/reference-tables/uploads` to get an upload ID and upload your CSV data. Then, call the Create Reference Table endpoint with the `upload_id` in `file_metadata`.

### Terraform

Use the `datadog_reference_table` resource to manage reference tables as infrastructure as code. Configure the resource with your table schema, primary keys, and cloud storage access details.


[8]: /api/latest/reference-tables/
[9]: https://registry.terraform.io/providers/DataDog/datadog/latest/docs/resources/reference_table
[10]: /api/latest/reference-tables/#create-reference-table

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