Reply.io to Yellowfin Integration
AI-first ETL from Reply.io into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Reply.io into Yellowfin
Datrise syncs Reply.io's campaigns, prospects, sequences, email events, calls, and replies into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Reply.io: Multichannel sales engagement sequences.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Reply.io entities map to Yellowfin
| Reply.io entity | Yellowfin object | Notes |
|---|---|---|
| campaigns | reply_io_campaigns | id PK · custom fields → flattened columns |
| prospects | reply_io_prospects | id PK · linked to reply_io_campaigns |
| sequences | reply_io_sequences | id PK · linked to reply_io_campaigns |
| email events | reply_io_email_events | date/time dimensions events |
FAQ
How does Datrise handle Reply.io's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Reply.io to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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