> ## Documentation Index
> Fetch the complete documentation index at: https://docs.blockdb.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Bootstrap your warehouse with BlockDB's historical exports before enabling live feeds.

## Delivery Options

| Channel                    | Best for                                              | Status       | Guide                                                                         |
| -------------------------- | ----------------------------------------------------- | ------------ | ----------------------------------------------------------------------------- |
| **REST API**               | Filtered pulls and low-latency ad-hoc queries         | ✅ Supported  | [REST API](/user-guide/archive-delivery/rest-api)                             |
| **SFTP**                   | Managed nightly drops with schema manifests           | 🟡 Beta      | [SFTP](/user-guide/archive-delivery/sftp)                                     |
| **Amazon S3**              | Cross-region replication into customer-owned buckets  | ✅ On Request | [Amazon S3](/user-guide/archive-delivery/amazon-s3)                           |
| **Azure Blob Storage**     | ADLS Gen2 integration via service principal           | ✅ On Request | [Azure Blob Storage](/user-guide/archive-delivery/azure-blob-storage)         |
| **Snowflake Share**        | Zero-copy Secure Data Share to your Snowflake account | ✅ On Request | [Snowflake Share](/user-guide/archive-delivery/snowflake-share)               |
| **Amazon Redshift**        | Data sharing via Redshift Serverless                  | ✅ On Request | [Amazon Redshift](/user-guide/archive-delivery/amazon-redshift-share)         |
| **Google BigQuery**        | Authorized view or transfer service                   | ✅ On Request | [Google BigQuery](/user-guide/archive-delivery/google-bigquery)               |
| **Databricks Delta Share** | Native Delta Sharing tables                           | ✅ On Request | [Databricks Delta Share](/user-guide/archive-delivery/databricks-delta-share) |

<Note>
  Most customers start with a full-history archive drop to bootstrap their warehouse, then layer on Managed Bucket Slices or CDC Streams for ongoing freshness. Use `_tracing_id` to reconcile records consistently across channels.
</Note>