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Sync data from Google BigQuery to Salesforce

Activate your Google BigQuery data by syncing it directly into Salesforce. With Weld's reverse ETL, you can push modelled data such as audience segments, lead scores and account metrics from your cloud data warehouse into Salesforce, making it actionable for your team without manual exports or CSV uploads.

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4.8 on G2
Google BigQueryWarehouse
WeldWeld
SalesforceDestination
Weld · Reverse ETL
Google BigQuerySourceGoogle BigQueryConnected
Models to send

Your own tables, picked when you set up the sync.

  • Model
  • Map fields
  • Upsert
SalesforceDestinationSalesforceReady
Objects updated
  • salesforce.Synced
  • salesforce.Syncing
  • salesforce.Synced
  • salesforce.Synced

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  • Son of a Tailor
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  • Pas Normal Studios
How it works

How to set up Google BigQuery to Salesforce in Weld.
Guided setup in 5 steps.

Full setup guide
  1. Step 01

    Connect your cloud data warehouse

    Add Google BigQuery as a data source in Weld with connection credentials that grant read access. Credentials are stored encrypted and never logged.

  2. Step 02

    Define your transformation

    Write a SQL query or dbt model that selects and transforms the data you want to push to Salesforce. This is where you build audience segments, compute lead scores, aggregate metrics, or reshape data into the structure Salesforce expects. You can preview results before activating.

  3. Step 03

    Connect Salesforce

    Authenticate Salesforce as a reverse ETL destination. Weld supports OAuth or API key authentication depending on the connector. Once connected, Weld automatically discovers the available objects and fields in Salesforce.

  4. Step 04

    Map fields and configure sync

    Map your SQL columns to Salesforce fields using Weld's visual mapper. Choose a sync mode: insert to create new records, update to modify existing ones, or upsert to do both. Then set a schedule from every 5 minutes to daily.

  5. Step 05

    Activate and monitor

    Enable the sync and monitor it from the Weld dashboard. Track record counts, sync duration, and error rates in real time. Configure Slack or email alerts so you're notified immediately if a sync fails or encounters data quality issues.

Use cases

Why sync Google BigQuery to Salesforce?
Act on warehouse data.

Combine Google BigQuery data with other customer touchpoints to build a unified customer view across sales, marketing, and support.

Push enriched segments and computed attributes from Google BigQuery into Salesforce to power personalized outreach and targeted campaigns.

Keep Salesforce updated with the latest data from Google BigQuery to automate workflows and reduce manual data entry.

  • Enrich CRM records

    Push computed lead scores, lifetime value, or product usage metrics from Google BigQuery into Salesforce so sales teams have context without switching tools.

  • Sync customer segments

    Automatically update Salesforce lists and tags based on warehouse-computed segments, ensuring your sales and success teams target the right accounts.

  • Operationalize analytics

    Turn insights from your cloud data warehouse into action by pushing model outputs and metrics into Salesforce where your team works.

Data

What data can you sync?
From Google BigQuery to Salesforce.

Model the data in Google BigQuery with SQL or dbt, then map it to objects in Salesforce such as these. Which objects you can write to depends on the Salesforce connector and your account permissions.

  • Accounts
  • Contacts
  • Leads
  • Opportunities
  • Campaigns
  • Tasks
  • Cases
  • Users
Under the hood

Technical considerations.
What to expect.

ELT

ELT vs. reverse ETL: Google BigQuery and Salesforce

ELT (Extract, Load, Transform) moves data from Salesforce into Google BigQuery for analytics. It's about centralizing data in your warehouse so analysts can query and join it with other sources.

Reverse ETL does the opposite. It takes data that's already in Google BigQuery and pushes it into Salesforce so operational teams can act on it. This is the approach used on this page.

Many teams use both: ELT to centralize data in the warehouse, and reverse ETL to activate that data back in business tools. Weld supports both directions between Google BigQuery and Salesforce.

Salesforce to Google BigQuery
Sync modes
Choose between insert, update, or upsert sync modes when pushing data to Salesforce. Upsert is recommended to avoid duplicates.
Rate limits
Weld respects Salesforce's API rate limits and automatically throttles requests to avoid hitting quotas.
Data freshness
Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security
All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Resources

Keep reading.
Guides, docs and schema.

Documentation

Google BigQuery setup guide

How to connect Google BigQuery to Weld, step by step.

Documentation

Salesforce setup guide

How to connect Salesforce to Weld, step by step.

Connector

Google BigQuery connector

Everything Weld does with Google BigQuery.

Connector

Salesforce connector

Everything Weld does with Salesforce.

FAQ

Common questions.
About Google BigQuery to Salesforce.

Start syncing Google BigQuery data to Salesforce.

Set up your reverse ETL pipeline in minutes. No credit card required. Free for 14 days.

Google BigQueryWarehouse
WeldWeld
SalesforceDestination
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