DatriseAI-first ETL

Creatio Amazon DynamoDB

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

How Datrise loads Creatio into Amazon DynamoDB

Datrise syncs Creatio's no-code CRM processes, entities, and cross-team workflow orchestration 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

Creatio: No-code CRM and process automation platform for enterprise teams.

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

How Creatio entities map to Amazon DynamoDB

Creatio entityAmazon DynamoDB objectNotes
no-code CRM processescreatio_no_code_crm_processesid PK · custom fields → nested map/list attributes
entitiescreatio_entitiesid PK · linked to creatio_no_code_crm_processes
cross-team workflow orchestrationcreatio_cross_team_workflow_orchestrationid PK · linked to creatio_no_code_crm_processes

FAQ

How does Datrise handle Creatio'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 Creatio 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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