DatriseAI-first ETL

HubSpot CRM Amazon DynamoDB

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

How Datrise loads HubSpot CRM into Amazon DynamoDB

Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement events 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

HubSpot CRM: Inbound CRM with marketing, sales, and service hubs.

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

How HubSpot CRM entities map to Amazon DynamoDB

HubSpot CRM entityAmazon DynamoDB objectNotes
contactshubspot_contactsid PK · custom fields → nested map/list attributes
companieshubspot_companiesid PK · linked to hubspot_contacts
dealshubspot_dealsid PK · linked to hubspot_contacts
lifecycle stageshubspot_lifecycle_stagesid PK · linked to hubspot_contacts

FAQ

How does Datrise handle HubSpot CRM'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 HubSpot CRM 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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