DatriseAI-first ETL

SendGrid to Amazon DynamoDB Integration

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

How Datrise loads SendGrid into Amazon DynamoDB

Datrise syncs SendGrid's messages, contacts, delivery events, bounces, opens, and marketing campaigns 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

SendGrid: Transactional email delivery and engagement events.

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

How SendGrid entities map to Amazon DynamoDB

SendGrid entityAmazon DynamoDB objectNotes
messagessendgrid_core_messagesid PK · custom fields → nested map/list attributes
contactssendgrid_core_contactsid PK · linked to sendgrid_core_messages
delivery eventssendgrid_core_delivery_eventsISO-8601 string or epoch number attributes events
bouncessendgrid_core_bouncesid PK · linked to sendgrid_core_messages

FAQ

How does Datrise handle SendGrid'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 SendGrid 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

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