DatriseAI-first ETL

Source connector

Referral Saasquatch connector

Referral Saasquatch integration for databases, warehouses and BI tools

Referral and loyalty program tracking. Datrise captures Referral Saasquatch entities such as users, referrals, rewards, programs, redemptions and account balances, 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 `referral_saasquatch_users`) with a schema derived from the Referral Saasquatch 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 Referral Saasquatch pipeline page, and join the waitlist to get the Referral Saasquatch connector with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Referral Saasquatch 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
usersreferral_saasquatch_usersUpsert by primary key, incremental on updated-at
referralsreferral_saasquatch_referralsUpsert by primary key, incremental on updated-at
rewardsreferral_saasquatch_rewardsUpsert by primary key, incremental on updated-at
programsreferral_saasquatch_programsUpsert by primary key, incremental on updated-at
redemptionsreferral_saasquatch_redemptionsUpsert by primary key, incremental on updated-at
account balancesreferral_saasquatch_account_balancesUpsert by primary key, incremental on updated-at

Popular destinations for Referral Saasquatch

Choose a destination below to open the ready pipeline page.

  • A
    Airtable

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

    View pipeline
  • A
    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
  • A
    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

Referral Saasquatch connector FAQ

What Referral Saasquatch data does the connector extract?
6 objects: users, referrals, rewards, programs, redemptions and account balances. Each lands in its own table with types preserved; history-style objects (0) load as append-only streams.
Is the Referral Saasquatch 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 Referral Saasquatch data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Referral Saasquatch → destination pair has its own page with the object-to-table mapping.

Related sources

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

Early access

Launch your Referral Saasquatch pipeline with guided onboarding

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