Panoply Named Gartner Cool Vendor In Data Management

 

Panoply is thrilled to be included in Gartner’s 2019 Cool Vendors in Data Management research. Focused on leading companies who provide modern data management practices powered by AI and ML, Gartner’s Cool Vendor report educates C-level executives and decision makers on the leading emerging vendors in data management. Ever since our inception in 2015, Panoply has been focused on developing an all-in-one data platform that enables our customers to collaboratively share data and insights, no matter if the data is in the cloud, an app or in a cloud object store such as S3 or Azure. Our data query engine uses AI and ML to deliver lightning-fast results via self-optimizing queries and more.


In 2019, Gartner only recognized three companies in their Cool Vendor for Data Management report, placing Panoply in very exclusive company amongst those delivering the next-generation of data management technology. Past ‘Cool Vendors’ include companies such as Snowflake, Tableau, and Looker.

In the Gartner Cool Vendors report, our product vision and customer’s reality is validated when Gartner recommends solutions that enable data teams to be flexible, nimble and reactive to their business’ needs and organization’s demands. With this inclusion, Panoply is heralded as a company that enables data analysts to orchestrate many data types from disparate sources and present insights and findings to their stakeholders.

To reiterate, according to Gartner, data management platforms need to be flexible, fast and efficient, so that teams relying upon these platforms can be as well.

“We’ve built Panoply from day one with a focus on data simplicity - so that analysts and CTOs can rely upon Panoply to assemble all their data in one place and serve as their self-optimizing data warehouse solution”, says Panoply Co-Founder and CEO Yaniv Leven. We’re happy to see Gartner include Panoply in their Cool Vendors in Data Management research”.

To find out more about data management and Panoply, be sure to visit Panoply.io

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