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Data Exports

Export platform datasets to S3 and other destinations — on demand or on a recurring schedule — in Parquet, CSV, or JSONL, with partitioning and connection testing.

Updated 2026-06-15Suggest edits

Data Exports

Data Exports (Intelligence → Data Exports) streams Aforo datasets out to your own storage and warehouses. The page is organized around three concepts.

Three concepts

TabWhat it manages
DestinationsConfigured targets (S3, signed URL, …) with connection testing
ExportsAd-hoc and triggered export jobs with live progress
SchedulesRecurring, cron-driven exports

Datasets

usage_events, invoices, invoice_line_items, subscriptions, customers, rate_plans, offerings, payments.

Formats & partitioning

  • FormatsParquet, CSV, JSONL.
  • PartitioningNONE, DAY, HOUR, or CUSTOMER.

Destinations

StatusMeaning
ACTIVEVerified and usable
INACTIVEDisabled
UNVERIFIEDCreated but not yet tested
ERRORLast connection test failed

S3 and SIGNED_URL are live today; GCS, AZURE_BLOB, SNOWFLAKE, BIGQUERY, REDSHIFT, and DATABRICKS are on the roadmap. Use Test on a destination to validate credentials before relying on it.

The export wizard

The unified wizard walks you through Destination → Data → Filters → Format → Cadence → Review. Cadence is the key choice:

CadenceBehavior
NowOne-off export over a date range
ScheduleRecurring, with cron + timezone + lookback window
BothCreate a schedule and run it immediately

Export jobs move through QUEUED → RUNNING → COMPLETED (or FAILED / CANCELLED), tracking rowsExported and bytesExported. The Exports header shows a live summary ("N jobs · N running · N schedules · N destinations").

Job creation is idempotent — the wizard sends an idempotency key, so a retried submit won't create a duplicate export.