Seamlessly Sync Your Singer Data to Jupyter

Integrating Singer 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 Singer 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 Singer 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 Singer in minutes

Singer is an open source tool that helps bring order to the messy world of custom ETL scripts. Singer allows users to mix and match inputs and outputs, making their ETL processes much more modular–and therefore easier to run and maintain. Singer uses JSON to move all data between sources and destinations, so you won’t have to worry about incompatible formats once you’ve set your ETL tasks up to run. Panoply’s integration with Singer makes it easy to move data from anywhere with a supported tap–Singer’s term for a data collection script–into an automated cloud warehouse. And since Singer is open source and supported by a broad community of developers, if you can’t find the tap you need, you can just write your own, without having to worry about building loading functions for Panoply.

Learn more:
Documentation

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Other integrations with Singer

Singer +
Chartio
Singer +
Tableau
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Power BI
Singer +
Looker
Singer +
Mode Analytics
Singer +
Cumul.io
Singer +
Metabase
Singer +
Redash
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Google Data Studio
Singer +
SeekWell
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Apache Superset
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Grafana
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Trevor.io
Singer +
Qlik
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Amazon QuickSight
Singer +
Domo
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Alteryx
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Apache Zeppelin
Singer +
Birst
Singer +
CARTO
Singer +
Databricks
Singer +
GoodData
Singer +
Holistics
Singer +
IBM Cognos
Singer +
JackDB
Singer +
Jupyter
Singer +
Klipfolio
Singer +
KNIME
Singer +
MicroStrategy
Singer +
Pentaho
Singer +
Plotly
Singer +
PopSQL
Singer +
Python
Singer +
R
Singer +
Shiny
Singer +
ThoughtSpot
Singer +
TIBCO Spotfire X
Singer +
Trifacta
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Yellowfin
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Zoho Analytics
Singer +
Alooma
Singer +
Amazon DynamoDB
Singer +
Amazon S3
Singer +
AppsFlyer
Singer +
Asana
Singer +
Attunity
Singer +
BigQuery
Singer +
Bing Ads
Singer +
CSV
Singer +
Delighted
Singer +
Elasticsearch
Singer +
etleap
Singer +
Facebook Ads
Singer +
Facebook Pages
Singer +
Facebook Posts
Singer +
Fivetran
Singer +
Flydata
Singer +
GitHub
Singer +
Google Ads
Singer +
Google Analytics
Singer +
Google Cloud Datastore
Singer +
Google Cloud Storage
Singer +
Google Drive
Singer +
Google Analytics Ecommerce
Singer +
Google Search Console
Singer +
Google Sheets
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HubSpot
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Informatica PowerCenter
Singer +
Instagram for Business
Singer +
Intercom
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Jaspersoft
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JSON
Singer +
LinkedIn Ads
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Magento
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MailChimp
Singer +
Matillion
Singer +
Microsoft Azure SQL Data Warehouse
Singer +
Microsoft Excel
Singer +
Microsoft SQL Server
Singer +
MongoDB
Singer +
MySQL
Singer +
Pardot
Singer +
PostgreSQL
Singer +
Redshift
Singer +
Rivery
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Salesforce
Singer +
Segment
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Shopify
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Skyvia
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Slamdata
Singer +
SnapLogic
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Snowplow
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Stitch
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Striim
Singer +
Stripe
Singer +
Sybase
Singer +
Talend
Singer +
Tray.io
Singer +
Twilio
Singer +
Twitter Ads
Singer +
Twitter
Singer +
Upload Data
Singer +
Woocommerce
Singer +
Wordpress
Singer +
Xplenty
Singer +
Zapier
Singer +
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

Jupyter +
Salesforce
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HubSpot
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PostgreSQL
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MySQL
Jupyter +
MongoDB
Jupyter +
Amazon S3
Jupyter +
Facebook Ads
Jupyter +
Google Ads
Jupyter +
Google Analytics
Jupyter +
Zendesk
Jupyter +
Shopify
Jupyter +
Microsoft Azure SQL Data Warehouse
Jupyter +
Microsoft Excel
Jupyter +
Stitch
Jupyter +
Twitter
Jupyter +
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
Jupyter +
Twilio
Jupyter +
Elasticsearch
Jupyter +
Upload Data
Jupyter +
Microsoft SQL Server
Jupyter +
Bing Ads
Jupyter +
Wordpress
Jupyter +
Pardot
Jupyter +
Google Cloud Storage
Jupyter +
Redshift
Jupyter +
AppsFlyer
Jupyter +
Amazon DynamoDB
Jupyter +
Google Analytics Ecommerce
Jupyter +
GitHub
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 +
Snowplow
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Google Drive
Jupyter +
Magento
Jupyter +
Zapier
Jupyter +
Alooma
Jupyter +
AdRoll
Jupyter +
AfterShip
Jupyter +
Amazon Aurora PostgreSQL
Jupyter +
Amazon Cloudfront
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Amazon Kinesis Firehose
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Apple Search Ads
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Autopilot
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Azure Blob Storage
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Braintree Payments
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Branch
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BranchTrack
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Codat
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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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Klaviyo
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Mailjet
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MariaDB
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Marketo
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Mavenlink
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NetSuite
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Oracle Database
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Particle
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Pinterest
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Pivotal Tracker
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QuickBase
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Quickbooks
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Recharge
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Recurly
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Sailthru
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Salesforce IQ
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Salesforce Marketing Cloud
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Selligent
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SendGrid
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SFTP
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Shippo
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Sparkpost
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Spree Commerce
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Taboola
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Trello
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Urban Airship
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Vero
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Webhooks
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Xero
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Zendesk Chat
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Zendesk Sell
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Zoho CRM
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Zuora
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Alteryx
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Amazon QuickSight
Jupyter +
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 +
Klipfolio
Jupyter +
KNIME
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 Singer data to Jupyter now. Get a full Panoply trial free for 14 days.

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Frequently Asked Questions

How do I connect Jupyter to my Singer data?
To analyze your Singer data in Jupyter, you’ll first create a connection to Panoply. Panoply stores a replica of your Singer data and syncs it so it’s always up-to-date and ready for analysis. You can connect Jupyter to your Singer 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.