Analyze your MongoDB data in Jupyter
Getting your data from MongoDB 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 MongoDB 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.
How it works
Automatically sync and store the data you want with table-level control.
See the MongoDB data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with MongoDB in minutes
Panoply integrates both SQL and NoSQL data from any existing DBMS. Those capabilities would not be complete without MongoDB, the most widely used NoSQL DBMS. MongoDB is known for its automatic, easily scaled data clusters. With Panoply, importing MongoDB data is as simple as a few clicks, and once there it is easily accessible from within the cloud database. It can be combined with other SQL and NoSQL data sources, and your data scientists and analysts can immediately query the data and drive actionable conclusions. The Panoply platform makes it easy to consolidate all of your data, including MongoDB, and begin drawing conclusions in minutes without any custom scripts or programming. Secure, scalable, and powerful, Panoply is an invaluable tool for making use of your stored MongoDB data and replaces the need for a large data infrastructure. Create your own MongoDB data warehouse with Panoply.
Learn more:
Documentation
MongoDB Data Warehousing
MongoDB Business Intelligence
Other connectors with MongoDB
Integrate with Jupyter in minutes
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.
Learn more:
Documentation
Other connectors with Jupyter
Try It Now
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