Analyze your MySQL Data in 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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connect-tools

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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MySQL +
Chartio
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Cumul.io
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Metabase
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Google Data Studio
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Redash
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Apache Superset
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Amazon QuickSight
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Trevor.io
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Databricks
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GoodData
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Holistics
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IBM Cognos
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JackDB
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Jupyter
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Klipfolio
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MicroStrategy
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Pentaho
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PopSQL
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Julia
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Pandas
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SQL
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Shiny
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TIBCO Spotfire X
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Trifacta
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Yellowfin
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Zoho Analytics
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Alooma
MySQL +
Amazon DynamoDB
MySQL +
Amazon S3
MySQL +
AppsFlyer
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Asana
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Attunity
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BigQuery
MySQL +
Bing Ads
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CSV
MySQL +
Delighted
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etleap
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Facebook Ads
MySQL +
Facebook Pages
MySQL +
Facebook Posts
MySQL +
Fivetran
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Flydata
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GitHub
MySQL +
Google Ads
MySQL +
Google Analytics
MySQL +
Google Cloud Storage
MySQL +
Google Drive
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Google Analytics Ecommerce
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Google Search Console
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Google Sheets
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Informatica PowerCenter
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Instagram for Business
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Jira
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JSON
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LinkedIn Ads
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Magento
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MailChimp
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Matillion
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Microsoft Azure SQL Data Warehouse
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Microsoft Excel
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Microsoft SQL Server
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MongoDB
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Pardot
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Redshift
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Rivery
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Segment
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Snowplow
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Stitch
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Stripe
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Sybase
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Talend
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Tray.io
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Twilio
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Twitter Ads
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Twitter
MySQL +
Upload Data
MySQL +
Woocommerce
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Wordpress
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Xplenty
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Zapier
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Zendesk

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

See all Integrations

Other integrations with Jupyter

Jupyter +
Salesforce
Jupyter +
HubSpot
Jupyter +
PostgreSQL
Jupyter +
MySQL
Jupyter +
MongoDB
Jupyter +
Amazon S3
Jupyter +
Facebook Ads
Jupyter +
Google Ads
Jupyter +
Google Analytics
Jupyter +
Shopify
Jupyter +
Zendesk
Jupyter +
Fivetran
Jupyter +
Google Sheets
Jupyter +
JSON
Jupyter +
Microsoft Azure SQL Data Warehouse
Jupyter +
Microsoft Excel
Jupyter +
Stitch
Jupyter +
Twitter
Jupyter +
BigQuery
Jupyter +
CSV
Jupyter +
Google Search Console
Jupyter +
Instagram for Business
Jupyter +
LinkedIn Ads
Jupyter +
Segment
Jupyter +
Singer
Jupyter +
Stripe
Jupyter +
Twitter Ads
Jupyter +
Woocommerce
Jupyter +
Asana
Jupyter +
Intercom
Jupyter +
Amazon DynamoDB
Jupyter +
AppsFlyer
Jupyter +
Bing Ads
Jupyter +
Delighted
Jupyter +
Elasticsearch
Jupyter +
Facebook Pages
Jupyter +
Facebook Posts
Jupyter +
GitHub
Jupyter +
Google Cloud Storage
Jupyter +
Google Analytics Ecommerce
Jupyter +
MailChimp
Jupyter +
Microsoft SQL Server
Jupyter +
Pardot
Jupyter +
Redshift
Jupyter +
Twilio
Jupyter +
Upload Data
Jupyter +
Wordpress
Jupyter +
Attunity
Jupyter +
Flydata
Jupyter +
Informatica PowerCenter
Jupyter +
Jaspersoft
Jupyter +
Matillion
Jupyter +
Rivery
Jupyter +
Skyvia
Jupyter +
Slamdata
Jupyter +
SnapLogic
Jupyter +
Striim
Jupyter +
Sybase
Jupyter +
Talend
Jupyter +
Tray.io
Jupyter +
Xplenty
Jupyter +
etleap
Jupyter +
Alooma
Jupyter +
Google Drive
Jupyter +
Jira
Jupyter +
Magento
Jupyter +
SFTP
Jupyter +
Snowplow
Jupyter +
Zapier
Jupyter +
AdRoll
Jupyter +
AfterShip
Jupyter +
Amazon Aurora PostgreSQL
Jupyter +
Amazon Cloudfront
Jupyter +
Amazon Kinesis Firehose
Jupyter +
Apple Search Ads
Jupyter +
Autopilot
Jupyter +
Azure Blob Storage
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Braintree Payments
Jupyter +
Branch
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BranchTrack
Jupyter +
Codat
Jupyter +
Contact Pigeon
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Contentful
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Crashlytics
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Criteo
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Customer.io
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Desk
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Drip
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Dropbox
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Eloqua
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Enchant
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FormKeep
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Freshdesk
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Front
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GitLab
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Google Cloud SQL Postgres
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Google Cloud SQL MySQL
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Harvest
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Help Scout
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Heroku Postgres
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IBM DB2
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Iterable
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Marketo
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Mavenlink
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optimizely
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Oracle Database
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Particle
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Pinterest
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QuickBase
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Quickbooks
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Recharge
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Sailthru
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Shippo
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Taboola
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Zoho CRM
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Zuora
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Alteryx
Jupyter +
Amazon QuickSight
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Apache Superset
Jupyter +
Apache Zeppelin
Jupyter +
Birst
Jupyter +
CARTO
Jupyter +
Chartio
Jupyter +
Cumul.io
Jupyter +
Databricks
Jupyter +
Domo
Jupyter +
GoodData
Jupyter +
Google Data Studio
Jupyter +
Grafana
Jupyter +
Holistics
Jupyter +
IBM Cognos
Jupyter +
JackDB
Jupyter +
Julia
Jupyter +
Klipfolio
Jupyter +
KNIME
Jupyter +
Looker
Jupyter +
Metabase
Jupyter +
MicroStrategy
Jupyter +
Mode Analytics
Jupyter +
Pandas
Jupyter +
Pentaho
Jupyter +
Plotly
Jupyter +
PopSQL
Jupyter +
Power BI
Jupyter +
Python
Jupyter +
Qlik
Jupyter +
R
Jupyter +
Redash
Jupyter +
SeekWell
Jupyter +
Shiny
Jupyter +
SQL
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.