Panoply is a modern, cloud-based data platform designed to simplify and accelerate the process of data analytics. Its core mission is to empower organizations by making data from diverse sources readily accessible for analysis, without the traditional complexities of data management. By providing an integrated, secure environment, it serves as a centralized hub for all business intelligence needs.

Panoply excels in its ease of use, offering a fully managed data warehouse with powerful ETL (Extract, Transform, Load) and ELT capabilities. Users can automatically connect to hundreds of data sources—from databases and CRM systems to marketing and analytics applications. Panoply efficiently ingests this data, manages the underlying infrastructure, and automates much of the data preparation, significantly reducing the workload on data engineering teams.

A key advantage of Panoply is its ability to deliver insights faster. By automating data pipelines and simplifying complex backend processes, it drastically shortens the time from data collection to actionable business intelligence. This allows data analysts and scientists to focus on deriving insights and building reports using their preferred SQL or BI tools like Tableau, rather than on time-consuming data wrangling and infrastructure maintenance.

Panoply stands out as a comprehensive solution for companies seeking to become more data-driven. It effectively removes the traditional barriers to data analytics, offering a scalable, secure, and user-friendly platform. By consolidating data management tasks, Panoply enables teams to unlock the full potential of their data and make smarter, faster decisions.

Key Features:

• Create color contour plots of geo-referenced latitude-longitude, latitude-vertical, longitude-vertical, time-latitude or time-vertical arrays sliced from 2D or larger multidimensional variables.
• Create color contour plots of "generic" 2D arrays from 2D or larger multidimensional variables.
• Create line plots of data from 1D or larger multidimensional variables.
• Combine two geo-referenced arrays in one plot by differencing, summing or averaging.
• Create map plots of trajectory data based on the CF convention or similar.
• Plot lon-lat data on a global or regional map using any of over 200 map projections or make a zonal average line plot.
• Overlay continent outlines or masks on lon-lat map plots.
• Use any of numerous color tables for the scale colorbar, or apply your own custom ACT, CPT, or RGB color table.
• Save plots to disk GIF, JPEG, PNG or TIFF bitmap images or as PDF, PostScript or SVG graphics files.
• Export lon-lat map plots in KMZ format.
• Open a remote netCDF and HDF dataset stored on an HTTP/HTTPS website or in an S3 bucket.
• Explore remote THREDDS and OPenDAP catalogs and open datasets served from them.
• Export animations as MP4 video or as a collection of invididual frame images.