DatriseAI-first ETL

Pendo Microsoft SQL Server

AI-first ETL from Pendo into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads Pendo into Microsoft SQL Server

Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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

Pendo: Product analytics and in-app guidance for SaaS teams.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Pendo entities map to Microsoft SQL Server

Pendo entityMicrosoft SQL Server objectNotes
eventspendo_eventsdatetime2 events
guidespendo_guidesid PK · linked to pendo_events
NPSpendo_npsid PK · linked to pendo_events
feature adoptionpendo_feature_adoptionid PK · linked to pendo_events

FAQ

How does Datrise handle Pendo'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 Pendo 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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