Apollo → Microsoft SQL Server
AI-first ETL from Apollo into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into Microsoft SQL Server
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Apollo: Sales intelligence and engagement platform with account-level activity.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Apollo entities map to Microsoft SQL Server
| Apollo entity | Microsoft SQL Server object | Notes |
|---|---|---|
| sales intelligence records | apollo_sales_intelligence_records | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| account engagement | apollo_account_engagement | id PK · linked to apollo_sales_intelligence_records |
| outbound activity | apollo_outbound_activity | datetime2 events |
FAQ
How does Datrise handle Apollo's custom fields in Microsoft SQL Server?
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 Microsoft SQL Server types.
How does the Apollo to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
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Early access
Connect Apollo to Microsoft SQL Server the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.