DatriseAI-first ETL

Yandex Metrica to Oracle Database Integration

AI-first ETL from Yandex Metrica into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads Yandex Metrica into Oracle Database

Datrise syncs Yandex Metrica's sessions, visitors, pageviews, traffic sources, goals, and user parameters into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

Yandex Metrica: Website traffic analytics and session recordings.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Yandex Metrica entities map to Oracle Database

Yandex Metrica entityOracle Database objectNotes
sessionsyandex_metrica_sessionsid PK · custom fields → JSON or CLOB columns
visitorsyandex_metrica_visitorsid PK · linked to yandex_metrica_sessions
pageviewsyandex_metrica_pageviewsid PK · linked to yandex_metrica_sessions
traffic sourcesyandex_metrica_traffic_sourcesid PK · linked to yandex_metrica_sessions

FAQ

How does Datrise handle Yandex Metrica's custom fields in Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

How does the Yandex Metrica to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

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