Convex Dev → Amazon Redshift
AI-first ETL from Convex Dev into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Convex Dev into Amazon Redshift
Datrise syncs Convex Dev's records, events, and configuration objects 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
Convex Dev: SaaS or API data source for analytics and warehouse sync.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Convex Dev entities map to Amazon Redshift
| Convex Dev entity | Amazon Redshift object | Notes |
|---|---|---|
| records | convex_dev_records | id PK · custom fields → SUPER columns |
| events | convex_dev_events | TIMESTAMPTZ events |
| configuration objects | convex_dev_configuration_objects | id PK · linked to convex_dev_records |
FAQ
How does Datrise handle Convex Dev'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 Convex Dev 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
More destinations for Convex Dev
- Convex Dev → Databricks SQL Warehouse
- Convex Dev → ClickHouse
- Convex Dev → DuckDB
- Convex Dev → Amazon Athena
- Convex Dev → Amazon S3 Data Lake
- Convex Dev → Azure Data Lake Storage
- Convex Dev → Azure Synapse
- Convex Dev → Spreadsheets
- Convex Dev → Airtable
- Convex Dev → CSV Files
- Convex Dev → MongoDB
- Convex Dev → Supabase
More sources for Amazon Redshift
- CSV File → Amazon Redshift
- Customerio → Amazon Redshift
- Datadog → Amazon Redshift
- Datascope → Amazon Redshift
- Db2 → Amazon Redshift
- Deputy → Amazon Redshift
- Desk Com → Amazon Redshift
- Dockerhub → Amazon Redshift
- Doubleclick Campaign Manager → Amazon Redshift
- Dremio → Amazon Redshift
- Drift → Amazon Redshift
- Drip → Amazon Redshift
Early access
Connect Convex Dev 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.