DatriseAI-first ETL

Source connector

Sellsy connector

Sellsy integration for databases, warehouses and BI tools

French CRM with quoting, invoicing, and support tickets. Datrise captures Sellsy entities such as prospects, opportunities, estimates, invoices, tickets and timeline events, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

Of the 6 objects, 4 sync as upserts keyed on the primary key and 2 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 `sellsy_prospects`) with a schema derived from the Sellsy 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 Sellsy pipeline page, and join the waitlist to get the Sellsy connector (CRM) with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Sellsy 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
prospectssellsy_prospectsUpsert by primary key, incremental on updated-at
opportunitiessellsy_opportunitiesUpsert by primary key, incremental on updated-at
estimatessellsy_estimatesUpsert by primary key, incremental on updated-at
invoicessellsy_invoicesAppend-only, incremental by timestamp
ticketssellsy_ticketsUpsert by primary key, incremental on updated-at
timeline eventssellsy_timeline_eventsAppend-only, incremental by timestamp

Popular destinations for Sellsy

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
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    Amazon DynamoDB

    Serverless key-value and document store on AWS.

    View pipeline
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    Amazon QuickSight

    AWS serverless BI with SPICE and embedded analytics.

    View pipeline
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    Amazon Redshift

    AWS petabyte-scale warehouse with Spectrum.

    View pipeline
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    Amazon S3 Data Lake

    Object storage landing zone for parquet and snapshots.

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    Apache Superset

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

    View pipeline
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    Azure Data Lake Storage

    ADLS Gen2 object storage for analytics workloads.

    View pipeline
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    Azure Synapse

    Microsoft analytics workspace with SQL pools.

    View pipeline

Sellsy connector FAQ

What Sellsy data does the connector extract?
6 objects: prospects, opportunities, estimates, invoices, tickets and timeline events. Each lands in its own table with types preserved; history-style objects (2: invoices and timeline events) load as append-only streams.
Is the Sellsy 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 Sellsy data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Sellsy → 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 Sellsy pipeline with guided onboarding

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