Start analyzing your Elasticsearch data with Jupyter

Integrating Jupyter and Elasticsearch has never been easier. Try Panoply for Free
Store and sync your data from over 80 sources so it's always ready for action

Panoply in 30 seconds

Watch how easy it is to connect to your data. It only takes a few minutes to sync your data into Panoply so that it’s available to all your teammates and all your tools.

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collect-data

All your data in one place

With over 80 data source connections, you can gather all your business data in one place in minutes. You’ll never have to worry about silos separating your CRM, database, advertising, analytics, or other business data.

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automate-data

Automated data pipeline

Seamlessly scale from gigabytes to terabytes without worrying about performance or maintenance. Panoply combines a data-warehouse-as-a-service with integrated ETL pipelines in a simple management console that requires no engineering experience.

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Analytics in action

With Panoply, your data has the power to transform your business. Panoply prepares your data into easy-to-analyze tables and connects to all popular BI tools and analytical notebooks. From the executives to the analysts, everyone will have the most up-to-date data and the insights they need to drive your business forward.

Browse BI Tool Integrations

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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Integrate with Elasticsearch in minutes

Panoply’s out of the box integrations include Elasticsearch analytics. In minutes, your Elasticsearch data can be added to your own cloud based Panoply Smart Data Warehouse for instant access, becoming part of the Panoply end-to-end data management platform. Elasticsearch is an open source search and analytics engine that organization use to both analyze and query many different types of data, including: Structured Data, Unstructured Data, Geographic Data, and More. Panoply lets you connect and combine your analytics with other data in the cloud, creating an Elasticsearch data warehouse. There, you can generate custom reports and dashboards from within the Panoply platform. Give your analysts an opportunity to explore trends and patterns without having to write or maintain scripts, and make discoveries that will help your business grow.

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Microsoft Excel
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Magento BI
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MicroStrategy
Elasticsearch +
Pentaho
Elasticsearch +
Plotly
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Elasticsearch +
Python
Elasticsearch +
R
Elasticsearch +
SeekWell
Elasticsearch +
Shiny
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Elasticsearch +
TIBCO Spotfire X
Elasticsearch +
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Elasticsearch +
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Elasticsearch +
Zoho Analytics
Elasticsearch +
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Elasticsearch +
Amazon S3
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Elasticsearch +
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Elasticsearch +
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Elasticsearch +
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Elasticsearch +
Facebook Ads
Elasticsearch +
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Elasticsearch +
GitHub
Elasticsearch +
Google AdSense
Elasticsearch +
Google Ads
Elasticsearch +
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Elasticsearch +
Google Cloud Datastore
Elasticsearch +
Google Cloud Storage
Elasticsearch +
Google Analytics Ecommerce
Elasticsearch +
Google Search Console
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Elasticsearch +
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Elasticsearch +
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Elasticsearch +
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Elasticsearch +
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Elasticsearch +
JSON
Elasticsearch +
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Elasticsearch +
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Elasticsearch +
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Elasticsearch +
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Elasticsearch +
Microsoft Azure SQL Data Warehouse
Elasticsearch +
Microsoft SQL Server
Elasticsearch +
MongoDB
Elasticsearch +
MySQL
Elasticsearch +
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Elasticsearch +
PostgreSQL
Elasticsearch +
Redshift
Elasticsearch +
Rivery
Elasticsearch +
Salesforce
Elasticsearch +
Segment
Elasticsearch +
Shopify
Elasticsearch +
Skyvia
Elasticsearch +
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Elasticsearch +
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Elasticsearch +
Striim
Elasticsearch +
Stripe
Elasticsearch +
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Elasticsearch +
Talend
Elasticsearch +
Tray.io
Elasticsearch +
Twilio
Elasticsearch +
Twitter Ads
Elasticsearch +
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Elasticsearch +
Typeform
Elasticsearch +
Upload Data
Elasticsearch +
Wordpress
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Xero
Elasticsearch +
Xplenty
Elasticsearch +
Zendesk
Elasticsearch +
Zoho CRM

Start Analyzing your Data for Free

Panoply will store and sync your data for free for 14 days

Try Panoply Free Request Demo

Free 14 day trial. No credit card required.

Common Questions

How do I connect Jupyter to my Elasticsearch data?
To start analyzing your Elasticsearch data in Jupyter, you’ll first create a connection to Panoply. Panoply stores a replica of your Elasticsearch data and syncs it so it’s always up-to-date and ready for analysis. You can connect Jupyter to your Elasticsearch data in Panoply via an ODBC connection.
What data can I integrate with Jupyter?
Panoply allows you to integrate Jupyter with over 80 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 80 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.