DatriseAI-first ETL

MyCase to Amazon QuickSight Integration

AI-first ETL from MyCase into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.

How Datrise loads MyCase into Amazon QuickSight

Datrise syncs MyCase's cases, clients, leads, time entries, invoices, and documents into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

MyCase: Case management and client intake for law firms.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How MyCase entities map to Amazon QuickSight

MyCase entityAmazon QuickSight objectNotes
casesmycase_casesid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.

How does the MyCase to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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