DatriseAI-first ETL

Source connector

Impartner connector

Impartner integration for databases, warehouses and BI tools

Channel management for partner tiers and co-sell. Datrise captures Impartner entities such as partners, deal registrations, opportunities, tiers, MDF requests and partner contacts, 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 `impartner_partners`) with a schema derived from the Impartner 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 Impartner pipeline page, and join the waitlist to get the Impartner connector (CRM) with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Impartner 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
partnersimpartner_partnersUpsert by primary key, incremental on updated-at
deal registrationsimpartner_deal_registrationsUpsert by primary key, incremental on updated-at
opportunitiesimpartner_opportunitiesUpsert by primary key, incremental on updated-at
tiersimpartner_tiersUpsert by primary key, incremental on updated-at
MDF requestsimpartner_mdf_requestsUpsert by primary key, incremental on updated-at
partner contactsimpartner_partner_contactsUpsert by primary key, incremental on updated-at

Popular destinations for Impartner

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
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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.

    View pipeline
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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

Impartner connector FAQ

What Impartner data does the connector extract?
6 objects: partners, deal registrations, opportunities, tiers, MDF requests and partner contacts. Each lands in its own table with types preserved; history-style objects (0) load as append-only streams.
Is the Impartner 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 Impartner data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Impartner → 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 Impartner pipeline with guided onboarding

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