DatriseAI-first ETL

Less Annoying CRM Domo

AI-first ETL from Less Annoying CRM into Domo. Governed entities, incremental sync, typed landing tables.

How Datrise loads Less Annoying CRM into Domo

Datrise syncs Less Annoying CRM's contacts, accounts, deals, activities, and lifecycle events into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Less Annoying CRM: CRM for SMB teams managing pipeline, contacts, and customer activity.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Less Annoying CRM entities map to Domo

Less Annoying CRM entityDomo objectNotes
contactsless_annoying_crm_contactsid PK · custom fields → flattened columns for Magic ETL
accountsless_annoying_crm_accountsid PK · linked to less_annoying_crm_contacts
dealsless_annoying_crm_dealsid PK · linked to less_annoying_crm_contacts
activitiesless_annoying_crm_activitiesdate/time columns events

FAQ

How does Datrise handle Less Annoying CRM's custom fields in Domo?

Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.

How does the Less Annoying CRM to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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