DatriseAI-first ETL

Ploomes to ThoughtSpot Integration

AI-first ETL from Ploomes into ThoughtSpot. Governed entities, incremental sync, typed landing tables.

How Datrise loads Ploomes into ThoughtSpot

Datrise syncs Ploomes's contacts, companies, deals, quotes, products, and pipeline stages 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

Ploomes: CRM with quoting and product catalogs for Brazilian sales.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Ploomes entities map to ThoughtSpot

Ploomes entityThoughtSpot objectNotes
contactsploomes_contactsid PK · custom fields → flattened columns for searchable fields
companiesploomes_companiesid PK · linked to ploomes_contacts
dealsploomes_dealsid PK · linked to ploomes_contacts
quotesploomes_quotesid PK · linked to ploomes_contacts

FAQ

How does Datrise handle Ploomes'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 Ploomes to ThoughtSpot sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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