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Storage options
1
An overview of the available options for storing Snowplow data in data warehouses and lakes
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Data warehouses and data lakes are primary destinations for Snowplow data. For other options, see the destinations overview page.

Data warehouse loaders

:::note Cloud

The cloud selection is for where your Snowplow pipeline runs. The warehouse itself can be deployed in any cloud.

:::

Destination Type Loader application Status
Redshift
(including Redshift serverless)
Batching (recommended)
or micro-batching
Snowplow RDB Loader Production-ready
Snowflake Batching (recommended)
or micro-batching
Snowplow RDB Loader Production-ready
Databricks Batching (recommended)
or micro-batching
Snowplow RDB Loader Production-ready
Postgres Streaming Postgres Loader Not recommended for production use
Destination Type Loader application Status
BigQuery Streaming BigQuery Loader Production-ready
Snowflake Micro-batching Snowplow RDB Loader Production-ready
Databricks Micro-batching Snowplow RDB Loader Early release
Postgres Streaming Postgres Loader Not recommended for production use
Destination Type Loader application Status
Snowflake Micro-batching Snowplow RDB Loader Early release
Databricks Micro-batching
(via a data lake)
Lake Loader Early release
Synapse Analytics Micro-batching
(via a data lake)
Lake Loader Early release

Data lake loaders

All lake loaders are micro-batching.

Lake Format Compatibility Loader application Status
S3 TSV/JSON Amazon Athena S3 Loader Only recommended for use with RDB Batch Transformer or for failed events
Lake Format Compatibility Loader application Status
GCS Delta Databricks Lake Loader Early release
GCS JSON BigQuery GCS Loader Only recommended for failed events
Lake Format Compatibility Loader application Status
ADLS Gen2 Delta Synapse Analytics, Fabric, Databricks Lake Loader Early release