Seamlessly Sync Your Salesforce Data to Jupyter

Integrating Salesforce 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 Salesforce 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 Salesforce 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 Salesforce in minutes

In marketing and sales, there is often a gold mine hidden within SalesForce data. But mining for gold requires significant analyses, often integrating that data with other data sources. Panoply is an end-to-end, machine learning, automated data management and warehousing platform. Its functionality makes it easier to turn that raw data into analysis in less time. SalesForce, a cloud computing company known for its feature rich CRM, easily integrates with the Panoply platform. With Panoply, SalesForce data becomes an immediate part of your data warehouse without requiring any costly infrastructure. Panoply’s self-optimizing system shortens data management time and reduces the need for a complex data infrastructure. Sales reports and data queries can be generated from within Panoply within minutes, with no custom scripts necessary. With Panoply, no ETL or ELT support is necessary to have actionable data that addresses key business questions and drives decisions across departments.

Learn more:
Documentation
Salesforce Data Warehousing
Salesforce Business Intelligence

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Holistics
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IBM Cognos
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BigQuery
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Bing Ads
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CSV
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Elasticsearch
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Facebook Ads
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Facebook Pages
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Facebook Posts
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Fivetran
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GitHub
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Google Ads
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Google Analytics
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Google Cloud Datastore
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Google Cloud Storage
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Google Drive
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Google Search Console
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Microsoft SQL Server
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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

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

Try It Now

Start syncing your Salesforce 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 Salesforce data?
To start analyzing your Salesforce data in Jupyter, you’ll first create a connection to Panoply. Panoply stores a replica of your Salesforce data and syncs it so it’s always up-to-date and ready for analysis. You can connect Jupyter to your Salesforce data in Panoply via an ODBC connection.
What data can I integrate with Jupyter?
Panoply allows you to integrate Jupyter with over 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 60+ data integrations, Panoply transforms scattered data into a single source of truth that’s accessible to your entire team via any BI tool or analytical notebook. Run as many queries as you’d like and add as many users as you need for one transparent price.

Technically speaking, Panoply combines user-friendly ETL (Extract, Transform, Load) data pipelines and data warehouse functionality in one platform. Get the control you need with simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.