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Data warehouses

BigQuery + AutomateNexus CRM

Land CRM objects in BigQuery for your BI stack.

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Integrations — the AI providers the workspace runs on, then communications, calendars, video meetings, payments and accounting, lead research and the API, each with what is connected
What you can do

BigQuery, wired into your pipeline.

  1. 01

    Scheduled sync to BigQuery

    Contacts, companies, deals, activities, and invoices land in your warehouse on a schedule.

  2. 02

    Credentials encrypted

    Connection details are stored encrypted and never leave the server.

  3. 03

    Your BI, your tools

    Query the CRM in the same place as the rest of your data.

How it works

Connected in three steps.

  1. Step 01

    Enter BigQuery credentials

    Settings → Data warehouse. Test the connection before saving.

  2. Step 02

    Choose objects and schedule

    Pick what syncs and how often.

  3. Step 03

    Query

    Build dashboards in the BI tool you already use.

Under the hood

Built to be left alone.

  1. Scheduled sync

    Pick the objects and the cadence; the sync runs on the server.

  2. Encrypted credentials

    Connection details are stored encrypted and tested before use.

  3. Your schema

    Tables land in BigQuery ready for the BI tool you already use.

Keep connecting

More Data warehouses integrations

View all integrations
  1. 01SnowflakeScheduled sync of CRM data into Snowflake.
  2. 02Amazon RedshiftSync pipeline and customer data to Redshift.
  3. 03DatabricksFeed CRM data into Databricks on a schedule.
Your turn

Put BigQuery to work.

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