Seamlessly Sync Your MySQL Data to Jupyter

Integrating MySQL and Jupyter has never been easier. Try Panoply for Free
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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automate-data

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

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IBM Cognos
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Google Ads
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Upload Data
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Xplenty
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Zendesk

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

See all Integrations

Other integrations with Jupyter

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PostgreSQL
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MySQL
Jupyter +
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Amazon S3
Jupyter +
Facebook Ads
Jupyter +
Google Ads
Jupyter +
Google Analytics
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Zendesk
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Shopify
Jupyter +
Microsoft Azure SQL Data Warehouse
Jupyter +
Microsoft Excel
Jupyter +
Stitch
Jupyter +
Twitter
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Fivetran
Jupyter +
JSON
Jupyter +
Google Sheets
Jupyter +
BigQuery
Jupyter +
LinkedIn Ads
Jupyter +
Google Cloud Datastore
Jupyter +
Instagram for Business
Jupyter +
CSV
Jupyter +
Singer
Jupyter +
Google Search Console
Jupyter +
Stripe
Jupyter +
Segment
Jupyter +
Twitter Ads
Jupyter +
Woocommerce
Jupyter +
Asana
Jupyter +
Intercom
Jupyter +
Delighted
Jupyter +
Facebook Posts
Jupyter +
Facebook Pages
Jupyter +
MailChimp
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Twilio
Jupyter +
Elasticsearch
Jupyter +
Upload Data
Jupyter +
Microsoft SQL Server
Jupyter +
Bing Ads
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Wordpress
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Pardot
Jupyter +
Google Cloud Storage
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Amazon DynamoDB
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GitHub
Jupyter +
Attunity
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Informatica PowerCenter
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Jaspersoft
Jupyter +
Matillion
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Slamdata
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AdRoll
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AfterShip
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Amazon Cloudfront
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Branch
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Google Data Studio
Jupyter +
Grafana
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IBM Cognos
Jupyter +
JackDB
Jupyter +
Klipfolio
Jupyter +
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Jupyter +
Looker
Jupyter +
Metabase
Jupyter +
MicroStrategy
Jupyter +
Mode Analytics
Jupyter +
Pentaho
Jupyter +
Plotly
Jupyter +
PopSQL
Jupyter +
Power BI
Jupyter +
Python
Jupyter +
Qlik
Jupyter +
R
Jupyter +
Redash
Jupyter +
SeekWell
Jupyter +
Shiny
Jupyter +
Tableau
Jupyter +
ThoughtSpot
Jupyter +
TIBCO Spotfire X
Jupyter +
Trevor.io
Jupyter +
Trifacta
Jupyter +
Yellowfin
Jupyter +
Zoho Analytics

Try It Now

Start syncing your MySQL data to Jupyter now. Get a full Panoply trial free for 14 days.

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Free 14 day trial. No credit card required.

Frequently Asked Questions

How do I connect Jupyter to my MySQL data?
To analyze your MySQL data in Jupyter, you’ll first create a connection to Panoply. Panoply stores a replica of your MySQL data and syncs it so it’s always up-to-date and ready for analysis. You can connect Jupyter to your MySQL data in Panoply via an ODBC connection.
What data can I integrate with Jupyter?
Panoply allows you to integrate Jupyter with 60+ data integrations including all major CRMs, databases, file systems, ad networks, analytics platforms, and finance tools. All of your data is stored in ready-to-analyze tables that can be joined together with SQL or merged in your BI tools. Integrating data for cross-channel advertising analysis, full-funnel conversion analysis, and CAC vs LTV analysis has never been so easy.
What is Panoply?
Panoply is a secure place to sync, store, and access all your business data. With unlimited access to over 60 data integrations, Panoply makes it possible to create an integrated view of your entire business. Everyone in your organization can share this single source of truth across any BI tool or analytical notebook with unlimited queries from unlimited users.

Technically speaking, Panoply provides the ETL (Extract, Transform, Load) and data warehouse functionality in one platform with the added benefit of simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.