Mixpanel to Databricks integration
Connect Mixpanel to Databricks and automatically sync your product analytics data. Weld extracts Events, People, Funnels, and Cohorts from Mixpanel, loads them into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.
- funnels9 cols
- cohorts8 cols
- annotations5 cols
- revenue5 cols
- cohort_members3 cols
- events3 cols
- Extract
- Load
- Keep in sync
- mixpanel_source.funnelsSynced
- mixpanel_source.cohortsSyncing
- mixpanel_source.annotationsSynced
- mixpanel_source.revenueSynced
- mixpanel_source.cohort_membersSynced
- mixpanel_source.eventsSynced
- Mixpanel tables
- 7
- fields, typed
- 35
- agent context included
- MCP
Trusted by data and AI teams
How to set up Mixpanel to Databricks in Weld.
In the app, with the API or an agent.
Why sync Mixpanel to Databricks?
Ready for analysis.
Centralizing your Mixpanel 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 Mixpanel data directly in Databricks using SQL or your preferred BI tool.
Product usage analytics
Combine Mixpanel event data with business data in Databricks to understand how product usage drives retention and revenue.
Centralized data warehouse
Bring Mixpanel 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 Mixpanel to Databricks. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Mixpanel table, keys intact.
Weld syncs the following data objects from Mixpanel into Databricks. The exact tables and fields depend on your Mixpanel configuration and the permissions granted during setup.
- funnels
- cohorts
- annotations
- revenue
- cohort_members
- events
- people
Ask your agent.
It queries Databricks for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Mixpanel context, finds the tables it needs and runs the query in Databricks.
How many funnels rows do we have in Databricks?
Reading the Mixpanel 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 Mixpanel API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Mixpanel 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 Mixpanel to Databricks.
Start syncing Mixpanel to Databricks.
Set up your Mixpanel data pipeline in minutes. No credit card required. Free for 14 days.