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Data and Analytics covers warehouse data flows in both directions: exporting DualEntry’s accounting data into a warehouse for analytics and BI, and ingesting analytics records from a warehouse back into DualEntry.
  • Analytics Ingestion: ingest analytics records from your enterprise data warehouse into DualEntry. Today this supports usage records for usage-based revenue recognition only.
  • PostgreSQL: export DualEntry’s accounting data into a PostgreSQL (or Redshift) database for analytics and downstream BI.
  • Power BI: export ledger data into a PostgreSQL, Snowflake, or SQL Server database, then point Power BI at that database.
  • Snowflake: push DualEntry’s accounting data into Snowflake (or another warehouse) for analytics.
The export connectors each register a destination, validate connectivity, and store credentials in AWS Secrets Manager before the export pipeline runs. Analytics ingestion reuses that same secure credential handling for reading from a warehouse rather than writing to one. Power BI is the one that trips people up: DualEntry does not push into Power BI, so connecting it means choosing one of the databases above as the destination and pointing Power BI at that. Return to Integrations for the full connector catalog.
Last modified on September 15, 2026