Getting your data from HubSpot to Jupyter can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both HubSpot and Jupyter with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
Panoply’s end to end data management solution comes with HubSpot integration. HubSpot is an inbound marketing software used in content management, SEO, and social media marketing campaigns. Panoply imports all of the HubSpot data directly into your own cloud-based Smart Data Warehouse without requiring an ETL process, giving your analysts a chance to immediately review your marketing data. Marketers can generate custom reports and dashboards from within the platform, and use that information to generate more leads, attract more visitors, and learn more about how to improve conversions. Reduce the time and cost of analyzing your HubSpot inbound marketing data with Panoply.
HubSpot Data Warehousing
HubSpot Business Intelligence
You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required.
Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.
Start syncing your data to now. Free 21-Day Proof of Value.
Free 21-Day Proof of Value. No credit card required.