EngageBay → Azure Synapse
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, accounts, deals, activities, and lifecycle events 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: CRM for SMB teams managing pipeline, contacts, and customer activity.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How EngageBay entities map to Azure Synapse
| EngageBay entity | Azure Synapse object | Notes |
|---|---|---|
| contacts | engagebay_contacts | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| accounts | engagebay_accounts | id PK · linked to engagebay_contacts |
| deals | engagebay_deals | id PK · linked to engagebay_contacts |
| activities | engagebay_activities | datetime2 events |
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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