Integrate Stripe using Panoply

Integrating Stripe has never been easier. Try Panoply for Free

Integrate with Stripe in minutes

Let Panoply integrate your Stripe data into your cloud data warehouse in moments, so that it is ready for immediate analysis. Stripe, known best for its online payment system, provides sales and customer data in the form of their Sigma product.

Panoply can extract that data directly from Stripe and instantly add it to your data warehouse without any additional ETL or ELT support. Stripe data can then be queried, compared, and analyzed from within the Panoply platform both by itself and with other data sources.

With Panoply, businesses can generate better customer analytics, determine market opportunities, reduce return rates, and compare across data channels all from within Panoply’s single, end to end data management platform. Panoply makes it easier for companies to use their Stripe data without an expensive and expansive data warehouse and analysis infrastructure.

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Pyramid Analytics
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Panoply is a cloud data warehouse that can be effortlessly set up to gather all your data in one place and seamlessly connected to any BI tool for lightning fast analytics.

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Collect all your data in one place

Whether it's Salesforce, Facebook Ads, PostgreSQL or any other data source or file, simply select your data sources and start uploading them into Panoply with just a few clicks. We have over 150 native data source integrations ready to go.

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Automate your data management

Loved by founders, analysts, and engineers, Panoply automatically models the data as its uploaded so you can immediately start querying multiple tables together. It also automatically scales storage and compute resources, and optimizes queries so you can spend time on insights, not maintenance.

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Panoply provides a single source of data truth that seamlessly connects to any analytics or visualization tool in just one click. As new data becomes available, Panoply will instantly add them to your data warehouse, so your data is always fresh.

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