Superset (Apache) is an open-source data exploration and visualization platform designed to handle large-scale data sets. It allows users to create interactive dashboards, run SQL queries, and generate a wide array of visualizations to gain insights from their data.
Top 5*
Analytics
About Superset (Apache)
Superset (Apache) was created in 2015 by Maxime Beauchemin while he was at Airbnb. It was developed to provide a modern, enterprise-ready business intelligence web application that could handle large-scale data exploration and visualization needs. The project later became an Apache Software Foundation incubator project in 2017 and graduated to a top-level project in 2020.
Strengths of Superset (Apache) include its open-source nature, scalability, and extensive visualization capabilities. Weaknesses involve a steep learning curve and limited support for complex data transformations. Competitors include Tableau, Power BI, and Looker.
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How to hire a Superset (Apache) expert
A Superset (Apache) expert must have strong SQL proficiency, familiarity with Python, experience in data visualization techniques, and knowledge of web development frameworks like Flask. They should also be skilled in database management and integration with various data sources.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
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