Do you need to export MailChimp API data into your data warehouse, data lake, or some other data repository?
Sage data MailChimp API integration can help you connect your data with a few clicks. Your MailChimp API data can export as often as every 30 minutes so you have the latest data available with no headache of managing code or upgrading your MailChimp API data integration.
See SageData in action
2 Min to add SageData Integration
Connect your MailChimp API account with SageData MailChimp API integration to a data lake of your choice in just a few minutes. This video shows you how easy it is to set up the integration and schedule it to run as often as you want.
Analyze your MailChimp API data.
Ingest the MailChimp API data into your data warehouse in minutes with few easy steps and start analysing, aggregating and combining your data.
Learn more about integration and managing your MailChimp API data
There are many tools out there that help you integrate your MailChimp API data. What sets SageData apart is our complete BI platform that gives you all the tools not only to ETL / ELT the MailChimp API data into your Data Warehouse, but to aggregate, combine and visualise it with the complete flexibility of an enterprise BI platfrom.SageData Documentation
SageData enabled us to rapidly scale our Data Analytics.
Head of BI at Finiata
Add your MailChimp API data to your Data Warehouse
Choose where you want your MailChimp API Data
SageData Data Store
On premise Data Warehouse
Any custom data repository
What sets SageData apart
SageData is a simple to use yet powerful Business Intelligence platform designed with the modern startups in mind who need a full BI Platforms without spending a fortune. SageData is built with the most valued best practices in mind to help you store and manage your data with ease. Our team of experienced Data Analysts can also assist you in managing your data so you can have the peace of mind that your data is reliable to make the best decision for your business.
SageData gives you the tools to:
- Combine your data from external and internal sources
- Clean up, model and aggregate your data
- Visualize your data
- Monitor your data for accuracy
- Check data for Anomalies
- Forecast your data