DatriseAI-first ETL

MyCase to Neon Integration

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

How Datrise loads MyCase into Neon

Datrise syncs MyCase's cases, clients, leads, time entries, invoices, and documents into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

MyCase: Case management and client intake for law firms.

Neon: Serverless Postgres destination with branching and autoscaling.

How MyCase entities map to Neon

MyCase entityNeon objectNotes
casesmycase_casesid PK · custom fields → jsonb 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 Neon?

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

How does the MyCase to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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