Ploomes to Google BigQuery Integration
AI-first ETL from Ploomes into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads Ploomes into Google BigQuery
Datrise syncs Ploomes's contacts, companies, deals, quotes, products, and pipeline stages 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
Ploomes: CRM with quoting and product catalogs for Brazilian sales.
Google BigQuery: Serverless analytics warehouse on GCP.
How Ploomes entities map to Google BigQuery
| Ploomes entity | Google BigQuery object | Notes |
|---|---|---|
| contacts | ploomes_contacts | id PK · custom fields → JSON or nested/repeated (STRUCT) columns |
| companies | ploomes_companies | id PK · linked to ploomes_contacts |
| deals | ploomes_deals | id PK · linked to ploomes_contacts |
| quotes | ploomes_quotes | id PK · linked to ploomes_contacts |
FAQ
How does Datrise handle Ploomes'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 Ploomes 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 Ploomes
More sources for Google BigQuery
- Moskit CRM → Google BigQuery
- PipeRun → Google BigQuery
- Omie CRM → Google BigQuery
- Nectar CRM → Google BigQuery
- Holded → Google BigQuery
- ForceManager → Google BigQuery
- SUMA CRM → Google BigQuery
- Efficy CRM → Google BigQuery
- Sellsy → Google BigQuery
- Teamleader → Google BigQuery
- SuperOffice CRM → Google BigQuery
- Sage CRM → Google BigQuery
Early access
Connect Ploomes to Google BigQuery the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.