Supermetrics for Databricks
Connect Mailchimp to Databricks — Email Data on the Lakehouse
Load Mailchimp email campaign performance and subscriber data into Databricks for email marketing analytics.
Why Connect Mailchimp to Databricks?
Warehouse your Mailchimp data in Databricks for unlimited historical analysis and cross-source SQL.
- Join Mailchimp campaign data with Shopify or CRM tables in Databricks to track email-driven revenue end to end.
- Retain unlimited email campaign history in Databricks for long-term engagement trend analysis beyond Mailchimp reporting.
- Use SQL to analyze open and click rates by subject line patterns across your full campaign history.
How to Connect Mailchimp to Databricks
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Databricks as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Databricks workspace URL and access token, choose your catalog and schema, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into Databricks Delta tables automatically.
Mailchimp Data Schema in Databricks
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Mailchimp data looks like in Databricks.
Data Freshness & Scheduling
Mailchimp data is typically available in Databricks within 3-6 hours of the sync schedule.
What Mailchimp Data Can You Pull into Databricks?
Supermetrics gives Databricks access to your full Mailchimp reporting data — metrics and dimensions you already know from the Mailchimp interface.
Key Metrics
- Emails sent
- Open rate
- Click rate
- Bounce rate
- Unsubscribe rate
- Unique opens
- Unique clicks
- Total opens
- Revenue
- Orders
- Spam complaints
- Forwards
- Delivery rate
Key Dimensions
- Campaign name
- Campaign type
- Subject line
- Send date
- List name
- Automation name
- Email client
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
Why Supermetrics for Databricks?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in Databricks — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Mailchimp records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Mailchimp data as you need without worrying about cost spikes.
Complete Data Access
Pull every contact, deal, campaign, and custom property from Mailchimp. No field restrictions, no record limits — your complete dataset, ready for analysis.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select Mailchimp as the source and Databricks as the destination. Authorize your Mailchimp account, provide your Databricks workspace URL and access token, choose your catalog, schema, and Unity Catalog settings, select the fields you need, set a schedule, and start the transfer. No custom notebooks, Spark jobs, or Delta Lake plumbing required — Supermetrics writes directly to Delta tables and registers them in Unity Catalog so your data is governed, versioned, and queryable with both SQL and PySpark from the moment it lands.
- Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Mailchimp credentials are encrypted at rest and in transit. Data flows directly from the Mailchimp API into your Databricks workspace — Supermetrics never stores your marketing data on its own servers. Unity Catalog provides centralized governance: fine-grained row-level and column-level security, attribute-based access control, and a full audit log of who queried what. Delta Lake's transaction log makes every write atomic and traceable, so you always have a verifiable lineage of your Mailchimp data from ingestion to insight.
- That is one of the defining advantages of the Databricks lakehouse architecture. Once Mailchimp data lands as a Delta table, you can JOIN it with any other table in your lakehouse — raw event streams, CRM exports, product analytics, even ML Feature Store tables used for model training. Query in SQL from Databricks SQL warehouses or switch to PySpark and pandas for data science workflows — same data, no copying. Supermetrics supports 170+ connectors that all land in the same Unity Catalog namespace, and the Photon engine accelerates analytical queries on those Delta tables automatically.
- All standard Mailchimp reporting fields are available, including Emails sent, Open rate, Click rate, Bounce rate, Unsubscribe rate, Unique opens, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data already stored in your Delta tables. Delta Lake's time travel lets you query any previous version of your Mailchimp data — useful for auditing retroactive metric recalculations or reproducing a dashboard state from last quarter. Schema evolution is handled automatically, so new fields appear as columns without breaking existing queries.
- Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Databricks. Most teams schedule daily transfers so yesterday's complete data is available each morning. Delta Lake's MERGE capability ensures only new and changed records are upserted, keeping cluster utilization and storage costs low. For teams that need near-real-time visibility, the Photon engine accelerates incremental queries so dashboards refresh in seconds, and you can set up Databricks SQL alerts to trigger notifications when key Mailchimp metrics cross your thresholds.
- Yes. Automation workflows and their individual email performance metrics are available for loading into Redshift.
- Yes. Mailchimp revenue and order data from connected e-commerce stores is included, and you can join with Shopify or other store data for verification.
Also Connect to Databricks
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