DatriseAI-first ETL

EspoCRM Amazon DynamoDB

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

How Datrise loads EspoCRM into Amazon DynamoDB

Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation 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

EspoCRM: Open-source CRM for pipeline management and custom entity modeling.

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

How EspoCRM entities map to Amazon DynamoDB

EspoCRM entityAmazon DynamoDB objectNotes
pipeline entitiesespocrm_pipeline_entitiesid PK · custom fields → nested map/list attributes
custom objectsespocrm_custom_objectsid PK · linked to espocrm_pipeline_entities
process automation eventsespocrm_process_automation_eventsISO-8601 string or epoch number attributes events

FAQ

How does Datrise handle EspoCRM'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 EspoCRM 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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