DatriseAI-first ETL

MyCase to Microsoft SQL Server Integration

AI-first ETL from MyCase into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads MyCase into Microsoft SQL Server

Datrise syncs MyCase's cases, clients, leads, time entries, invoices, and documents 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

MyCase: Case management and client intake for law firms.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How MyCase entities map to Microsoft SQL Server

MyCase entityMicrosoft SQL Server objectNotes
casesmycase_casesid PK · custom fields → NVARCHAR(MAX) JSON columns
clientsmycase_clientsid PK · linked to mycase_cases
leadsmycase_leadsid PK · linked to mycase_cases
time entriesmycase_time_entriesid PK · linked to mycase_cases

FAQ

How does Datrise handle MyCase'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 MyCase 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

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