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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 our page with 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

No. Data sharing is currently part of our standard offering. 
The tables update daily.
For each user, we simulate hundreds of future potential messages given the current Bayesian priors for each label. We repeat this process for value propsitions, offerings, tone, etc. and then report the percent of messages with each label.