DatriseAI-first ETL

Kommo Amazon DynamoDB

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

How Datrise loads Kommo into Amazon DynamoDB

Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers 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

Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.

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

How Kommo entities map to Amazon DynamoDB

Kommo entityAmazon DynamoDB objectNotes
conversational CRM eventskommo_conversational_crm_eventsISO-8601 string or epoch number attributes events
chatskommo_chatsid PK · linked to kommo_conversational_crm_events
leadskommo_leadsid PK · linked to kommo_conversational_crm_events
sales automation triggerskommo_sales_automation_triggersid PK · linked to kommo_conversational_crm_events

FAQ

How does Datrise handle Kommo'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 Kommo 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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