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What is a Data Share?

A data share is a mechanism for accessing external datasets directly within your data warehouse environment. Instead of receiving data through file transfers, APIs, or ETL pipelines, data shares appear as read-only tables in your warehouse that you can query alongside your own data. The tables remain stored in Aampe’s infrastructure but are queryable from your environment. Key Characteristics:
  • No ETL Latency - Data refreshes in real-time as production systems update
  • Easy Access - Tables appear directly in your warehouse environment as read-only objects
  • No Storage Costs - You’re responsible only for compute resources used when querying. There are no ingestion or storage costs.

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What Data Does Aampe Share?

See here for detailed table and column descriptions.

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How Do I Activate Data Sharing?

Formal data shares are a new Aampe product. Please talk to your customer service representative to explore data sharing for your organization. Once access is provisioned, the shared datasets appear in your warehouse under a designated schema/database. You can join these tables with your internal data using standard SQL operations. No additional configuration or data movement is required.

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Supported Destinations

  • Amazon S3
  • Azure Blob Storage
  • Google Cloud Storage
  • Amazon Redshift
  • Google BigQuery
  • Databricks
  • Snowflake

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Change Management

Backwards compatable changes may happen at any time (e.g. new columns).
Breaking changes (removing columns or tables, renaming columns) will be communicated in advance.

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Data Share FAQs