Clio to Amazon Redshift Integration

How Datrise loads Clio into Amazon Redshift

Datrise syncs Clio's matters, contacts, time entries, bills, documents, and calendar events into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

Clio: Legal practice management for matters, time, and billing.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Clio entities map to Amazon Redshift

Clio entity	Amazon Redshift object	Notes
matters	`clio_matters`	id PK · custom fields → SUPER columns
contacts	`clio_contacts`	id PK · linked to clio_matters
time entries	`clio_time_entries`	id PK · linked to clio_matters
bills	`clio_bills`	id PK · linked to clio_matters

FAQ

How does Datrise handle Clio's custom fields in Amazon Redshift?

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

How does the Clio to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

Connect Clio to Amazon Redshift the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.