Yandex Metrica to Microsoft SQL Server Integration
AI-first ETL from Yandex Metrica into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Yandex Metrica into Microsoft SQL Server
Datrise syncs Yandex Metrica's sessions, visitors, pageviews, traffic sources, goals, and user parameters 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
Yandex Metrica: Website traffic analytics and session recordings.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Yandex Metrica entities map to Microsoft SQL Server
| Yandex Metrica entity | Microsoft SQL Server object | Notes |
|---|---|---|
| sessions | yandex_metrica_sessions | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| visitors | yandex_metrica_visitors | id PK · linked to yandex_metrica_sessions |
| pageviews | yandex_metrica_pageviews | id PK · linked to yandex_metrica_sessions |
| traffic sources | yandex_metrica_traffic_sources | id PK · linked to yandex_metrica_sessions |
FAQ
How does Datrise handle Yandex Metrica'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 Yandex Metrica 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
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