RingCentral → Google BigQuery
AI-first ETL from RingCentral into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads RingCentral into Google BigQuery
Datrise syncs RingCentral's calls, messages, users, queues, and meeting sessions 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
RingCentral: Cloud communications with voice, SMS, and meetings.
Google BigQuery: Serverless analytics warehouse on GCP.
How RingCentral entities map to Google BigQuery
| RingCentral entity | Google BigQuery object | Notes |
|---|---|---|
| calls | ringcentral_calls | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| messages | ringcentral_messages | id PK · linked to ringcentral_calls |
| users | ringcentral_users | id PK · linked to ringcentral_calls |
| queues | ringcentral_queues | id PK · linked to ringcentral_calls |
FAQ
How does Datrise handle RingCentral'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 RingCentral 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
More destinations for RingCentral
- RingCentral → Amazon Redshift
- RingCentral → Databricks SQL Warehouse
- RingCentral → ClickHouse
- RingCentral → DuckDB
- RingCentral → Amazon Athena
- RingCentral → Amazon S3 Data Lake
- RingCentral → Azure Data Lake Storage
- RingCentral → Azure Synapse
- RingCentral → Spreadsheets
- RingCentral → Airtable
- RingCentral → CSV Files
- RingCentral → MongoDB
More sources for Google BigQuery
Early access
Connect RingCentral to Google BigQuery the easy way
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