LinkedIn Ads → Amazon Redshift
AI-first ETL from LinkedIn Ads into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads LinkedIn Ads into Amazon Redshift
Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance 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
LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How LinkedIn Ads entities map to Amazon Redshift
| LinkedIn Ads entity | Amazon Redshift object | Notes |
|---|---|---|
| B2B campaign metrics | linkedin_ads_b2b_campaign_metrics | id PK · custom fields → SUPER columns |
| spend | linkedin_ads_spend | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| clicks | linkedin_ads_clicks | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| leads | linkedin_ads_leads | id PK · linked to linkedin_ads_b2b_campaign_metrics |
FAQ
How does Datrise handle LinkedIn Ads'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 LinkedIn Ads 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 LinkedIn Ads
- LinkedIn Ads → Databricks SQL Warehouse
- LinkedIn Ads → ClickHouse
- LinkedIn Ads → DuckDB
- LinkedIn Ads → Amazon Athena
- LinkedIn Ads → Amazon S3 Data Lake
- LinkedIn Ads → Azure Data Lake Storage
- LinkedIn Ads → Azure Synapse
- LinkedIn Ads → Spreadsheets
- LinkedIn Ads → Airtable
- LinkedIn Ads → CSV Files
- LinkedIn Ads → MongoDB
- LinkedIn Ads → Supabase
More sources for Amazon Redshift
- Meta Ads → Amazon Redshift
- SAP → Amazon Redshift
- Amplitude → Amazon Redshift
- MoEngage → Amazon Redshift
- Auth0 → Amazon Redshift
- Attio → Amazon Redshift
- Bigin by Zoho → Amazon Redshift
- BambooHR → Amazon Redshift
- Workday → Amazon Redshift
- Pipeliner CRM → Amazon Redshift
- Kommo → Amazon Redshift
- HighLevel → Amazon Redshift
Early access
Connect LinkedIn Ads 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.