SpotLyt is Brytlyt’s super-fast analytics workbench and a complete tool for analysts, data scientists and business intelligence
Highlights of Spotlyt’s capabilities are:
The visualisation component allows users to see all their charts together. There is a geospatial mapping capability where you can combine what you are looking at on a map with aggregational charts – bar charts, line diagraphs, heat maps etc.
Full SQL editor
Spotly has a very powerful SQL editor doing the coding, which interacts with Brytlyt’s PostgreSQL database. Users can navigate to all their database objects, create views and tables etc. and work with data in the SQL editor.
Direct integration with Jyputer Notebooks
The third component is Jupyter. SpotLyt has a very strong link to Jupyter notebook. Jupyter notebook is a browser-based way of writing python code (and other code) with python being the main technology that data scientists are currently using.
Interactive geospatial mapping and analytics
In contrast to other vendors, SpotLyt has moved the rendering from the client side for mapping to the actual database side meaning it is only the image, which is shipped out, not the data. The technology used to do this is a web-mapping server. As a result, SpotLyt can now do really exciting things with maps, which has massive appeal to sectors such as telcos, oil & gas, logistics and location-based advertising.
Front end scripting
Little coding snippets create controls and capture user intent, behavior & events and subsequently use the information to dynamically change what will happen in the charting. It is very dynamic and drives dynamic scenarios.
Spotlyt uses stored procedures because of the integration with PostgreSQL. This gives significant flexibility on the data side and enables users to dynamically work with the data.