Grin to Databricks integration
Connect Grin to Databricks and automatically sync your marketing platform data. Weld extracts data from Grin, loads it into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceGrinConnected- contact32 cols
- campaign27 cols
- activation18 cols
- media_library_content59 cols
- proposal24 cols
- partnership33 cols
- Extract
- Load
- Keep in sync
DestinationDatabricksReady- grin.contactSynced
- grin.campaignSyncing
- grin.activationSynced
- grin.media_library_contentSynced
- grin.proposalSynced
- grin.partnershipSynced
- Grin tables
- 66
- fields, typed
- 925
- relationships kept
- 94
- agent context included
- MCP
Trusted by data and AI teams
How to set up Grin to Databricks in Weld.
In the app, with the API or an agent.
New connectionGrinAuthorisedWhy sync Grin to Databricks?
Ready for analysis.
Centralizing your Grin 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 Grin data directly in Databricks using SQL or your preferred BI tool.
Centralized data warehouse
Bring Grin 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 Grin to Databricks. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Grin table, keys intact.
Weld syncs the objects the Grin connector exposes into Databricks, and you choose which tables and fields to include. The connector's docs list what is available.
- contact
- campaign
- activation
- media_library_content
- proposal
- partnership
- conversion
- affiliate_link
- campaign_conversion
- partnership_job
- content
- proposal_deliverable
- campaign_content
- proposal_deliverable_content
- discount_code_group
- contact_address
- contact_payment
- contact_order
- discount_code
- product_selection
- contact_campaign
- partnership_proposal
- activation_brief
- campaign_payable
- task
- activation_member
- ecommerce_account
- payable
- proposal_file
- contact_custom_property_value
- and 33 more
Ask your agent.
It queries Databricks for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Grin context, finds the tables it needs and runs the query in Databricks.
How many campaign rows do we have per discount_code_group? Use our Grin data in Databricks.
Reading the Grin context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Grin API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Grin 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.
Keep reading.
Guides, docs and schema.
Common questions.
About Grin to Databricks.
Start syncing Grin to Databricks.
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SourceWarehouse
