DatriseAI-first ETL

Reply.io to Azure Synapse Integration

AI-first ETL from Reply.io into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Reply.io into Azure Synapse

Datrise syncs Reply.io's campaigns, prospects, sequences, email events, calls, and replies into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Reply.io: Multichannel sales engagement sequences.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Reply.io entities map to Azure Synapse

Reply.io entityAzure Synapse objectNotes
campaignsreply_io_campaignsid PK · custom fields → NVARCHAR(MAX) JSON columns
prospectsreply_io_prospectsid PK · linked to reply_io_campaigns
sequencesreply_io_sequencesid PK · linked to reply_io_campaigns
email eventsreply_io_email_eventsdatetime2 events

FAQ

How does Datrise handle Reply.io's custom fields in Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Reply.io to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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