What Sets Orbit Business Intelligence Apart?
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Next Level Additional Features
SQL Scripting is the most widely used language to retrieve and manipulate data in a database. It has evolved into the most sophisticated and powerful language for data analysis and feeding the data to a visual interface. SQL queries are mostly used to produce tabular outputs rendered to data grid components or analytical SQL query outputs, that are rendered by visually compelling charting widgets.
Python has gained popularity for its functional programming approach and data science libraries. It is a powerful programming language for data manipulation and statistical outputs such as predictive and prescriptive analytics. Orbit automatically pulls the results from SQL queries into R programs. The SQL queries are generated using business schematic models, which are simple to use with a drag-and-drop interface. Orbit’s integration with Python allows it to leverage Python’s charting libraries to produce sophisticated visual outputs.
R is a popular programming language for statistical data analysis. Orbit R editor automatically pulls the results from SQL queries into R programs. Administrators can anytime upgrade R libraries and leverage their latest functionalities. Orbit’s integration with R allows it to leverage R’s charting libraries to produce sophisticated visual outputs.
Orbit’s custom widget API framework supports JavaScript, Python, and R programs. Developers can build visual widgets and include them in the available charts that others can use for data analysis and dashboards. It also allows the integration of third-party JavaScript libraries like D3.js, C3.js, Potly.js, and more.