Weld
Start free

Salesforce to Databricks integration

Connect Salesforce to Databricks and automatically sync your CRM data. Weld extracts Accounts, Contacts, Leads, and Opportunities from Salesforce, loads them into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for freeView setup guide
4.8 on G2
SalesforceSource
WeldWeld
DatabricksWarehouse
Weld · New sync
SalesforceSourceSalesforceConnected
Tables to sync
  • account7 cols
  • contact7 cols
  • lead7 cols
  • opportunity7 cols
  • opportunity_line_item7 cols
  • opportunity_contact_role7 cols
  • Extract
  • Load
  • Keep in sync
DatabricksDestinationDatabricksReady
salesforce schema
  • salesforce.accountSynced
  • salesforce.contactSyncing
  • salesforce.leadSynced
  • salesforce.opportunitySynced
  • salesforce.opportunity_line_itemSynced
  • salesforce.opportunity_contact_roleSynced
Salesforce tables
16
fields, typed
112
agent context included
MCP

Trusted by data and AI teams

  • Flatpay
  • Holafly
  • eComplete
  • Dishoom
  • Danish Endurance
  • Female Invest
  • Son of a Tailor
  • Onomondo
  • Medik8
  • Pas Normal Studios
How it works

How to set up Salesforce to Databricks in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Salesforce sync
SalesforceNew connectionSalesforceAuthorised
Connection namesalesforce
AuthorizeOpens Salesforce to grant read access
Use cases

Why sync Salesforce to Databricks?
Ready for analysis.

Centralizing your Salesforce data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Salesforce data directly in Databricks using SQL or your preferred BI tool.

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

  • Sales pipeline analytics

    Analyze your full sales funnel, from Accounts, Contacts, and Leads, in Databricks. Join CRM data with marketing and product data for complete attribution.

  • Centralized data warehouse

    Bring Salesforce data into Databricks alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from Salesforce to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Salesforce table, keys intact.

Weld syncs the following data objects from Salesforce into Databricks. The exact tables and fields depend on your Salesforce configuration and the permissions granted during setup.

Open the schema explorer
All 16 tables
  • account
  • contact
  • lead
  • opportunity
  • opportunity_line_item
  • opportunity_contact_role
  • case
  • campaign
  • campaign_member
  • task
  • event
  • user
  • product_2
  • pricebook_2
  • pricebook_entry
  • contract
Weld MCP server

Ask your agent.
It queries Databricks for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Salesforce context, finds the tables it needs and runs the query in Databricks.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many account rows do we have in Databricks?

Reading the Salesforce context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.salesforce.account
+ 15 more Salesforce tables
●weld·get_reference_schema
⎿account · 7 columns
columns and types
●weld·run_query
⎿select count(*) from {{raw.salesforce.account}}
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Salesforce data in Databricks
>Ask about your Salesforce data
Under the hood

Technical considerations.
What to expect.

Reverse ETL

ELT vs. reverse ETL: Salesforce and Databricks

ELT (Extract, Load, Transform) moves data from Salesforce into Databricks for analysis. This is the approach shown on this page, and the one to use for dashboards, reports, and data models.

Reverse ETL works the other direction: it pushes enriched data from Databricks back into Salesforce. For example, you could sync computed lead scores or customer segments from your warehouse into Salesforce to personalize outreach.

Weld supports both directions, so you can build a complete data loop between Salesforce and Databricks.

Databricks to Salesforce
Incremental syncing
Weld uses incremental syncing where supported by the Salesforce API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If Salesforce adds new fields, they're detected and added to the corresponding Databricks tables.
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

Salesforce setup guide

How to connect Salesforce to Weld, step by step.

Documentation

Databricks setup guide

How to connect Databricks to Weld, step by step.

Schema

Salesforce schema explorer

Browse all 16 tables and 112 fields.

Connector

Salesforce connector

Everything Weld does with Salesforce.

FAQ

Common questions.
About Salesforce to Databricks.

Start syncing Salesforce to Databricks.

Set up your Salesforce data pipeline in minutes. No credit card required. Free for 14 days.

SalesforceSource
WeldWeld
DatabricksWarehouse
Start for freeTalk to us
Related

Related integrations.
More with Salesforce and Databricks.

View all