Yandex Metrica to ThoughtSpot Integration
AI-first ETL from Yandex Metrica into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Yandex Metrica into ThoughtSpot
Datrise syncs Yandex Metrica's sessions, visitors, pageviews, traffic sources, goals, and user parameters into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Yandex Metrica: Website traffic analytics and session recordings.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Yandex Metrica entities map to ThoughtSpot
| Yandex Metrica entity | ThoughtSpot object | Notes |
|---|---|---|
| sessions | yandex_metrica_sessions | id PK · custom fields → flattened columns for searchable fields |
| 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 ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Yandex Metrica to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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Early access
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