Practifi to Mode Integration
AI-first ETL from Practifi into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Practifi into Mode
Datrise syncs Practifi's clients, households, entities, service requests, opportunities, and review meetings into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Practifi: Salesforce-based platform for advisory firm operations.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Practifi entities map to Mode
| Practifi entity | Mode object | Notes |
|---|---|---|
| clients | practifi_clients | id PK · custom fields → flattened columns for SQL and notebooks |
| households | practifi_households | id PK · linked to practifi_clients |
| entities | practifi_entities | id PK · linked to practifi_clients |
| service requests | practifi_service_requests | id PK · linked to practifi_clients |
FAQ
How does Datrise handle Practifi's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Practifi to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
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