DatriseAI-first ETL

Source connector

Sage CRM connector

Sage CRM integration for databases, warehouses and BI tools

CRM tied to Sage accounting for mid-market operations. Datrise captures Sage CRM entities such as persons, companies, opportunities, cases, communications and leads, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

Of the 6 objects, 6 sync as upserts keyed on the primary key and 0 as append-only streams, so each incremental run moves only what changed since the last watermark. Every object lands in its own table (for example `sage_crm_persons`) with a schema derived from the Sage CRM API rather than a flattened CSV, in any of the 43 supported destinations.

Datrise is in early access: pick a destination below to open the Sage CRM pipeline page, and join the waitlist to get the Sage CRM connector (CRM) with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Sage CRM data Datrise extracts

Each object lands in its own typed table. Sync mode is derived from the object: history-style objects append, everything else upserts.

ObjectLanding tableSync mode
personssage_crm_personsUpsert by primary key, incremental on updated-at
companiessage_crm_companiesUpsert by primary key, incremental on updated-at
opportunitiessage_crm_opportunitiesUpsert by primary key, incremental on updated-at
casessage_crm_casesUpsert by primary key, incremental on updated-at
communicationssage_crm_communicationsUpsert by primary key, incremental on updated-at
leadssage_crm_leadsUpsert by primary key, incremental on updated-at

Popular destinations for Sage CRM

Choose a destination below to open the ready pipeline page.

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    Airtable

    Relational spreadsheet destination for ops and go-to-market teams.

    View pipeline
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    Amazon Athena

    Serverless SQL over S3 data lake tables.

    View pipeline
  • A
    Amazon DynamoDB

    Serverless key-value and document store on AWS.

    View pipeline
  • A
    Amazon QuickSight

    AWS serverless BI with SPICE and embedded analytics.

    View pipeline
  • A
    Amazon Redshift

    AWS petabyte-scale warehouse with Spectrum.

    View pipeline
  • A
    Amazon S3 Data Lake

    Object storage landing zone for parquet and snapshots.

    View pipeline
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    Apache Superset

    Open-source BI for SQL exploration, charts, and dashboard publishing.

    View pipeline
  • A
    Azure Data Lake Storage

    ADLS Gen2 object storage for analytics workloads.

    View pipeline
  • A
    Azure Synapse

    Microsoft analytics workspace with SQL pools.

    View pipeline

Sage CRM connector FAQ

What Sage CRM data does the connector extract?
6 objects: persons, companies, opportunities, cases, communications and leads. Each lands in its own table with types preserved; history-style objects (0) load as append-only streams.
Is the Sage CRM integration incremental?
Yes. After the initial full load, every run reads only records changed since the last watermark (updated-at or event timestamp) and applies an upsert or an append depending on the object.
Where can I load Sage CRM data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Sage CRM → destination pair has its own page with the object-to-table mapping.

Related CRM sources

Other sources in the same category, each with its own connector page.

Early access

Launch your Sage CRM pipeline with guided onboarding

Join the waitlist to get priority access for Sage CRM integrations with guided setup, schema-aware mapping, and production-grade incremental sync.