DatriseAI-first ETL

Recurly ThoughtSpot

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

How Datrise loads Recurly into ThoughtSpot

Datrise syncs Recurly's subscriptions, invoices, plans, transactions, and dunning events 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

Recurly: Subscription management and recurring billing platform.

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

How Recurly entities map to ThoughtSpot

Recurly entityThoughtSpot objectNotes
subscriptionsrecurly_subscriptionsid PK · custom fields → flattened columns for searchable fields
invoicesrecurly_invoicesid PK · linked to recurly_subscriptions
plansrecurly_plansid PK · linked to recurly_subscriptions
transactionsrecurly_transactionsid PK · linked to recurly_subscriptions

FAQ

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

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

Related pipelines

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