Seamlessly Sync Your MySQL Data to Jupyter
Sync, store, and access all your business data with Panoply
Easily integrate data from over 30+ sources so it’s always ready for action.Panoply in 30 seconds
See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your MySQL data.
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Fuel your analytics
Panoply automatically organizes data into query-ready tables and connects to popular BI tools like Jupyter as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.
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Code-free data pipeline
Seamlessly sync MySQL and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.
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All your data in one place
Easily sync and store over 30+ data sources. Break down the silos separating your data to create a single source of truth your whole company can rely on.
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Integrate with MySQL in minutes
Panoply offers end to end data management that simplifies the ingestion to query process. For companies that already operate a MySQL database, Panoply was designed to integrate it into their platform with ease.
MySQL is a widely used, open source RDBMS. It is the most commonly used database management system on the internet. Panoply is capable of importing and accessing all MySQL data, and allows businesses to combine and query their data with other sources, all while without requiring any additional data warehousing infrastructure.
With Panoply, your stored data warehouse MySQL data becomes more accessible, scalable, and presentable for your data scientists.
Learn more:
Documentation
MySQL Data Warehousing
MySQL Business Intelligence
Other integrations with MySQL
Integrate with Jupyter in minutes
With open source Jupyter Notebook, programmers create and share interactive code, visual graphics, and text. This BI tool supports script in over 40 languages. It integrates to large data platforms like Apache Spark from Python, R and Scala. You can share Jupyter Notebook work through email, Dropbox, GitHub or the Jupyter Notebook Viewer. As with any data operations, you need an ETL to extract, transform and output your Jupyter Notebook code work. Panoply’s Jupyter Notebook integration makes the ETL process easy and seamless. This fully automated pipeline manages the entire ETL workflow on the cloud in real time. With Panoply, your data is continuously uploaded, cleaned and streamed to the client side. So the output you share is always the most relevant and up to date.
Learn more:
Documentation
Other integrations with Jupyter
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Start syncing your MySQL data to Jupyter now. Get a full Panoply trial free for 14 days.