DatriseAI-first ETL

EngageBay to Azure Synapse Integration

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

How Datrise loads EngageBay into Azure Synapse

Datrise syncs EngageBay's contacts, deals, tickets, sequences, forms, and landing pages 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

EngageBay: All-in-one CRM with marketing, sales, and service bays.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How EngageBay entities map to Azure Synapse

EngageBay entityAzure Synapse objectNotes
contactsengagebay_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
dealsengagebay_dealsid PK · linked to engagebay_contacts
ticketsengagebay_ticketsid PK · linked to engagebay_contacts
sequencesengagebay_sequencesid PK · linked to engagebay_contacts

FAQ

How does Datrise handle EngageBay'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 EngageBay 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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