Sage CRM → DuckDB
AI-first ETL from Sage CRM into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sage CRM into DuckDB
Datrise syncs Sage CRM's contacts, accounts, deals, activities, and lifecycle events 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
Sage CRM: Enterprise CRM for complex sales, service, and revenue operations.
DuckDB: In-process analytics database for fast local OLAP.
How Sage CRM entities map to DuckDB
| Sage CRM entity | DuckDB object | Notes |
|---|---|---|
| contacts | sage_crm_contacts | id PK · custom fields → JSON or STRUCT columns |
| accounts | sage_crm_accounts | id PK · linked to sage_crm_contacts |
| deals | sage_crm_deals | id PK · linked to sage_crm_contacts |
| activities | sage_crm_activities | TIMESTAMP WITH TIME ZONE events |
FAQ
How does Datrise handle Sage CRM'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 Sage CRM to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
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