Panoply.io simplifies and automates analytical data-management tasks, like data modeling, normalization and cleanup, infrastructure setup, launching servers, scaling and backup, as well as day-to-day database administration. Panoply.io uses an array of automated processes that analyze query patterns, metadata, and configurations, constantly adapting the underlying data architecture.
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Panoply utilizes machine learning and natural language processing (NLP) to learn, model and automate the standard data management activities performed by data engineers, server developers and data scientists, saving thousands of code lines and countless hours of debugging and research.
Advanced query materialization utilizes machine learning to monitor query usage and materialize highly used queries, drastically imporoving performance by up to 1,000x.