Getting your data from Redshift to PopSQL 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 Redshift and PopSQL 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.
Redshift is Amazon’s fully managed data warehouse designed for large scale analytics workloads. Panoply provides a Redshift alternative and one that comes with integrations for all of your stored Redshift data.
Panoply incorporates Amazon Redshifts breed data technologies, but without the full ETL pipeline. With Panoply, you can connect and combine your Redshift data with other data sources, and take advantage of Redshift’s strength, without the need to write any custom scripts or build any custom schemas. Panoply provides the strengths of Redshift with less preparation, cutting down the time for end to end data management and providing you with actionable business intelligence.
Load all of your data directly into the Panoply Smart Data Warehouse and create custom dashboards and generate reports from directly within the platform, all in a fraction of the time.
Redshift Data Warehousing
Redshift Business Intelligence
PopSQL, the “Modern, collaborative SQL editor for your team” is a SQL editing platform that provides shareable URLs to your queries and results. PopSQL automatically displays your analytics in chart and graph formats that best fit your data. User-friendly features like query variables, search and version history make PopSQL easy for the non-programmers on your team. Panoply powers PopSQL combining and automating all three key aspects of the data stack: data ingestion, data storage and management, and query performance optimization so your PopSQL queries and graphs will be lighting fast and always up to date.
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