DatriseAI-first ETL

Google Ads Amazon DynamoDB

AI-first ETL from Google Ads into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Ads into Amazon DynamoDB

Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

Google Ads: Paid media source for campaign and conversion metrics.

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Google Ads entities map to Amazon DynamoDB

Google Ads entityAmazon DynamoDB objectNotes
campaignsgoogle_ads_campaignsid PK · custom fields → nested map/list attributes
ad groupsgoogle_ads_ad_groupsid PK · linked to google_ads_campaigns
spendgoogle_ads_spendid PK · linked to google_ads_campaigns
clicksgoogle_ads_clicksid PK · linked to google_ads_campaigns

FAQ

How does Datrise handle Google Ads's custom fields in Amazon DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

How does the Google Ads to Amazon DynamoDB sync stay up to date?

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

Early access

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