Storage options
Data warehouses and data lakes are primary destinations for Snowplow data. For other options, see the destinations overview page.
Data warehouse loaders
- AWS
- GCP
- Azure 🧪
| Destination | Type | Loader application |
|---|---|---|
| Redshift (including Redshift serverless) | Batching (recommended) or micro-batching | Snowplow RDB Loader |
| Snowflake | Batching (recommended) or micro-batching | Snowplow RDB Loader |
| Databricks | Batching (recommended) or micro-batching | Snowplow RDB Loader |
| Postgres | Streaming | Postgres Loader |
| Destination | Type | Loader application |
|---|---|---|
| BigQuery | Streaming | BigQuery Loader |
| Snowflake | Micro-batching | Snowplow RDB Loader |
| Databricks | Micro-batching | Snowplow RDB Loader |
| Postgres | Streaming | Postgres Loader |
Currently, Azure support is in its pilot phase and we encourage you to share your thoughts and feedback with us on Discourse to help shape future development.
If you are interested in deploying BDP Enterprise (a private SaaS with extra features and SLAs) in your Azure account, please join our waiting list.
Alternatively, if you prefer loading data into Snowflake or Databricks hosted on Azure without managing any non-Azure infrastructure, consider BDP Cloud - our SaaS offering that fully supports these destinations.
| Destination | Type | Loader application |
|---|---|---|
| Snowflake | Micro-batching | Snowplow RDB Loader |
Data lake loaders
There is support for loading into cloud storage or data lakes via the S3 Loader for AWS or the Google Cloud Storage Loader for GCP.