Analyze your Delighted data in Python

Getting your data from Delighted to Python can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.

With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Delighted and Python with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.

It’s that simple: Unblock your data with Panoply.

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How it works

Connect to Delighted without complicated code.

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Automatically sync and store the data you want with table-level control.

See the Delighted data Panoply collects

Connect to Python and start analyzing in minutes.

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Get started

for free

14 day free trial

Query-ready data with just a few clicks

Seamlessly update all your Python reports and dashboards without lifting a finger. Set it up in minutes, then let Panoply handle the rest.
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Code-free data pipeline
Easily connect Delighted and all your other data sources with automated integrations that take pipeline management off your to-do list.
See all data source integrations
Fuel your analytics
Power BI and analytical tools like Python with fresh data so your whole team can discover insights that drive your business forward.
See all BI tool integrations

Integrate with Delighted in minutes

Panoply makes it simple to integrate your Delighted data directly into your data warehouse without maintaining an ETL or ELT process. Delighted is a popular customer feedback survey system that gathers instant feedback and makes it available from within the Delighted Dashboard for review. With Panoply, Dashboard customers can connect, combine, store, and access Dashboard data with all other data sources from directly within the Panoply Smart Data Warehouse.

With the Panoply platform, your analysts can review your customer feedback, analyze your Net Promoter Scores, and discover new opportunities from your Delighted data, with reports, dashboards, and queries available within the Panoply system.

Learn more:
Delighted Data Warehousing
Delighted Business Intelligence

See all integrations

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Asana
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BigQuery
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CSV
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HubSpot
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MySQL
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Segment
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SFTP
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Singer
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Sybase
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Twilio
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Twitter Ads
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Twitter
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Upload Data
Delighted +
WooCommerce
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Wordpress
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Zendesk

Integrate with Python in minutes

Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.

Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.

Learn more:
Documentation

See all integrations

Other integrations with Python

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HubSpot
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MongoDB
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Amazon S3
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Facebook Ads
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Google Ads
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Shopify
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Zendesk
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Fivetran
Python +
Google Sheets
Python +
JSON
Python +
Microsoft Excel
Python +
Stitch
Python +
Twitter
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BigQuery
Python +
CSV
Python +
Google Search Console
Python +
Instagram for Business
Python +
LinkedIn Ads
Python +
Segment
Python +
Singer
Python +
Stripe
Python +
Twitter Ads
Python +
WooCommerce
Python +
Asana
Python +
Intercom
Python +
Amazon DynamoDB
Python +
AppsFlyer
Python +
Bing Ads
Python +
Delighted
Python +
Elasticsearch
Python +
Facebook Pages
Python +
Facebook Posts
Python +
Google Cloud Storage
Python +
MailChimp
Python +
Microsoft SQL Server
Python +
Pardot
Python +
Redshift
Python +
Twilio
Python +
Upload Data
Python +
Wordpress
Python +
SnapLogic
Python +
Sybase
Python +
Tray.io
Python +
Google Drive
Python +
Jira
Python +
SFTP
Python +
Square
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AdRoll
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AfterShip
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Amazon Aurora PostgreSQL
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Amazon Cloudfront
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Amazon Kinesis Firehose
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Amazon Marketplace
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Apple Search Ads
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Autopilot
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Azure Blob Storage
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BigCommerce
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Braintree Payments
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Branch
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BranchTrack
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Campaign Monitor
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Chargebee
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Codat
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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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FormKeep
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Freshdesk
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Front
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GitHub
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GitLab
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Harvest Forecast
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Harvest
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Help Scout
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Iterable
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Klaviyo
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Lever
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Mailjet
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Marketo
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Mavenlink
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NetSuite
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optimizely
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Oracle Database
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Particle
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Payline
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PayPal
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Pinterest
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Pipedrive
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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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Referral SaasQuatch
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Sailthru
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Salesforce Marketing Cloud
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Selligent
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SendGrid
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Sendwithus
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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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Zapier
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Zendesk Chat
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Zoho CRM
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Zuora
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Amazon QuickSight
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Apache Superset
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Apache Zeppelin
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Birst
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CARTO
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Chartio
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Count
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Cumul.io
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Domo
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GoodData
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Grafana
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Holistics
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Shiny
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Try It Now

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Frequently Asked Questions

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