Getting your data from Redshift 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 Redshift 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.
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.
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Redshift Data Warehousing
Redshift Business Intelligence
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.
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Documentation
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