Yandex Metrica to Google BigQuery Integration
AI-first ETL from Yandex Metrica into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Yandex Metrica into Google BigQuery
Datrise syncs Yandex Metrica's sessions, visitors, pageviews, traffic sources, goals, and user parameters into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
Yandex Metrica: Website traffic analytics and session recordings.
Google BigQuery: Serverless analytics warehouse on GCP.
How Yandex Metrica entities map to Google BigQuery
| Yandex Metrica entity | Google BigQuery object | Notes |
|---|---|---|
| sessions | yandex_metrica_sessions | id PK · custom fields → JSON or nested/repeated (STRUCT) 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 Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the Yandex Metrica to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
Related pipelines
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Early access
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