Reply.io to Mode Integration
AI-first ETL from Reply.io into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Reply.io into Mode
Datrise syncs Reply.io's campaigns, prospects, sequences, email events, calls, and replies into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Reply.io: Multichannel sales engagement sequences.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Reply.io entities map to Mode
| Reply.io entity | Mode object | Notes |
|---|---|---|
| campaigns | reply_io_campaigns | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 | temporal columns events |
FAQ
How does Datrise handle Reply.io's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Reply.io to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
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Early access
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