DatriseAI-first ETL

Meta Ads Amazon DynamoDB

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

How Datrise loads Meta Ads into Amazon DynamoDB

Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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

Meta Ads: Facebook and Instagram ad source for spend and engagement.

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

How Meta Ads entities map to Amazon DynamoDB

Meta Ads entityAmazon DynamoDB objectNotes
campaign spendmeta_ads_campaign_spendid PK · custom fields → nested map/list attributes
impressionsmeta_ads_impressionsid PK · linked to meta_ads_campaign_spend
clicksmeta_ads_clicksid PK · linked to meta_ads_campaign_spend
conversionsmeta_ads_conversionsid PK · linked to meta_ads_campaign_spend

FAQ

How does Datrise handle Meta 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 Meta 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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