DatriseAI-first ETL

Source connector

Freshsales connector

Freshsales integration for databases, warehouses and BI tools

CRM by Freshworks with built-in phone and email. Datrise captures Freshsales entities such as leads, contacts, deals, calls, and email activity telemetry, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.

Of the 5 objects, 3 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 `freshsales_leads`) with a schema derived from the Freshsales 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 Freshsales pipeline page, and join the waitlist to get the Freshsales connector (CRM) with guided onboarding.

Incremental syncSchema-aware mapping43 destinations available

What Freshsales 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
leadsfreshsales_leadsUpsert by primary key, incremental on updated-at
contactsfreshsales_contactsUpsert by primary key, incremental on updated-at
dealsfreshsales_dealsUpsert by primary key, incremental on updated-at
callsfreshsales_callsAppend-only, incremental by timestamp
email activity telemetryfreshsales_email_activity_telemetryAppend-only, incremental by timestamp

Popular destinations for Freshsales

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

Freshsales connector FAQ

What Freshsales data does the connector extract?
5 objects: leads, contacts, deals, calls and email activity telemetry. Each lands in its own table with types preserved; history-style objects (2: calls and email activity telemetry) load as append-only streams.
Is the Freshsales 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 Freshsales data?
Into 43 destinations: relational databases, cloud warehouses, data lakes, spreadsheets and BI tools. Each Freshsales → 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 Freshsales pipeline with guided onboarding

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