DatriseAI-first ETL

Bigin by Zoho DuckDB

AI-first ETL from Bigin by Zoho into DuckDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Bigin by Zoho into DuckDB

Datrise syncs Bigin by Zoho's SMB leads, contacts, deals, and day-to-day activity tracking into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

Bigin by Zoho: SMB CRM source for leads, deals, and activity tracking.

DuckDB: In-process analytics database for fast local OLAP.

How Bigin by Zoho entities map to DuckDB

Bigin by Zoho entityDuckDB objectNotes
SMB leadsbigin_by_zoho_smb_leadsid PK · custom fields → JSON or STRUCT columns
contactsbigin_by_zoho_contactsid PK · linked to bigin_by_zoho_smb_leads
dealsbigin_by_zoho_dealsid PK · linked to bigin_by_zoho_smb_leads
day-to-day activity trackingbigin_by_zoho_day_to_day_activity_trackingTIMESTAMP WITH TIME ZONE events

FAQ

How does Datrise handle Bigin by Zoho's custom fields in DuckDB?

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

How does the Bigin by Zoho to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

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