Amplitude → Microsoft SQL Server
AI-first ETL from Amplitude into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into Microsoft SQL Server
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves 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
Amplitude: Product analytics source for events, funnels, and cohorts.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Amplitude entities map to Microsoft SQL Server
| Amplitude entity | Microsoft SQL Server object | Notes |
|---|---|---|
| product events | amplitude_product_events | datetime2 events |
| user properties | amplitude_user_properties | id PK · linked to amplitude_product_events |
| funnels | amplitude_funnels | id PK · linked to amplitude_product_events |
| cohorts | amplitude_cohorts | id PK · linked to amplitude_product_events |
FAQ
How does Datrise handle Amplitude'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 Amplitude to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
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Early access
Connect Amplitude to Microsoft SQL Server the easy way
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