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Amazon S3

Amazon S3 (Simple Storage Service) is a cloud-based service that allows user to upload and archive data through Amazon Web Services’ storage service.

Panoply makes it easier than ever to access your Amazon S3 data. Explore it in SQL or connect your favorite BI tools and analytical notebooks for custom data visualization and advanced analytics.

All your business data in one place

Sync, store, and access your data from over 50+ data sources with Panoply. Get unlimited access free for 14 days.

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Amazon S3 BI Integrations

Modernizing Amazon S3 BI

Preparing for analytics

Do you spend more time on data preparation or analysis? If you’re like most data analysts, you spend most of your time exporting CSVs, hacking spreadsheets, maintaining Python scripts, and managing databases. And you do all this hard work just for managers to ask why your reports don’t include today’s data. Your data deserves better, and so do you.

Automating data management

That laborious process of syncing and synthesizing data is called data management. Yes, it’s important—everyone knows good analysis requires good data. But every minute spent managing data is a minute that could be spent on analytics. The good news is that these processes can be automated and managed in the cloud without any complicated scripts or engineering expertise.

Your Amazon S3 data analytics platform

Panoply is the easiest way to sync, store, and access your Amazon S3 from all your business intelligence tools and analytical notebooks. It only takes a few minutes to connect your Amazon S3 data to Panoply. Once connected, Panoply will automatically refresh your data as it changes. There are no scripts to maintain or processes to manage. You can focus on what matters your data and your business.

Panoply makes your Amazon S3 data accessible
so you can analyze it

Expected Amazon S3 Data
The Amazon S3 data source enables you to retrieve the data stored in the files you've uploaded or saved to your S3 account. It can read the data from any file, but it works best when used to process tabular or structured files or data formats like CSV, JSON, and log files. By default, file selection and retrieval are made per bucket, but you can also drill-down to specific folders to be selective.


“ Panoply has given us drastic improvements in query speed and brought all our data in one place. Our visualizations are much more fast and efficient.
Andrew Zeck - CTO and Co-founder, Saucey
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