MyCase to Spotfire Integration
AI-first ETL from MyCase into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads MyCase into Spotfire
Datrise syncs MyCase's cases, clients, leads, time entries, invoices, and documents into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
MyCase: Case management and client intake for law firms.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How MyCase entities map to Spotfire
| MyCase entity | Spotfire object | Notes |
|---|---|---|
| cases | mycase_cases | id PK · custom fields → flattened columns for visualizations |
| clients | mycase_clients | id PK · linked to mycase_cases |
| leads | mycase_leads | id PK · linked to mycase_cases |
| time entries | mycase_time_entries | id PK · linked to mycase_cases |
FAQ
How does Datrise handle MyCase's custom fields in Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the MyCase to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
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