1С:CRM → Amazon DynamoDB
AI-first ETL from 1С:CRM into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads 1С:CRM into Amazon DynamoDB
Datrise syncs 1С:CRM's contacts, accounts, deals, activities, and lifecycle 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
1С:CRM: CRM with strong adoption in CIS markets for sales and operations.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How 1С:CRM entities map to Amazon DynamoDB
| 1С:CRM entity | Amazon DynamoDB object | Notes |
|---|---|---|
| contacts | 1c_crm_contacts | id PK · custom fields → nested map/list attributes |
| accounts | 1c_crm_accounts | id PK · linked to 1c_crm_contacts |
| deals | 1c_crm_deals | id PK · linked to 1c_crm_contacts |
| activities | 1c_crm_activities | ISO-8601 string or epoch number attributes events |
FAQ
How does Datrise handle 1С: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 1С: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.
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Early access
Connect 1С:CRM to Amazon DynamoDB the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.