Practifi → Microsoft SQL Server
AI-first ETL from Practifi into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Practifi into Microsoft SQL Server
Datrise syncs Practifi's contacts, accounts, deals, activities, and lifecycle events into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Practifi: Financial advisor CRM for clients, households, and compliance workflows.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Practifi entities map to Microsoft SQL Server
| Practifi entity | Microsoft SQL Server object | Notes |
|---|---|---|
| contacts | practifi_contacts | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| accounts | practifi_accounts | id PK · linked to practifi_contacts |
| deals | practifi_deals | id PK · linked to practifi_contacts |
| activities | practifi_activities | datetime2 events |
FAQ
How does Datrise handle Practifi's custom fields in Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the Practifi to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for Practifi
- Practifi → Oracle Database
- Practifi → Snowflake
- Practifi → Google BigQuery
- Practifi → Amazon Redshift
- Practifi → Databricks SQL Warehouse
- Practifi → ClickHouse
- Practifi → DuckDB
- Practifi → Amazon Athena
- Practifi → Amazon S3 Data Lake
- Practifi → Azure Data Lake Storage
- Practifi → Azure Synapse
- Practifi → Spreadsheets
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Early access
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