Cool Reader
FBReader
Amazon Kindle
calibre
Google Play Books
The new iPad Pro
AlReader
Universal Book Reader
Chartio
Looker
Domo
Sisense
Qlik
Tableau
Grow
QlikSense
Chartio is a business intelligence system that makes databases as easy to analyze as a spreadsheet. You donโt need to know SQL or a proprietary language to use Chartio, but you can use SQL if you prefer. Chartio enables business users to transform data themselves โ without the help of a data scientist. Chartio is simple to set up. You can connect and start analyzing your data in less than an hour. And it gives you the flexibility to quickly add new data and storage as your needs change.
Cool Reader
ChartioBased on our record, Cool Reader seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
An Android tablet and the CoolReader app. For me, it's simply the best eReader experience available. It's incredibly customisable. The only downside is it doesn't support PDF or AZW3, both of which can be reformatted to your preferred file type with Calibre anyway. Source: over 3 years ago
Cool reader is also another option https://sourceforge.net/projects/crengine/. Source: over 5 years ago
FBReader - FBReader is an e-book reader for various platforms. Features:
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Amazon Kindle - Amazon Kindle software lets you read ebooks on your Kindle, iPhone, iPad, PC, Mac, BlackBerry, and...
Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
calibre - Ebook manager, viewer & converter
Sisense - The BI & Dashboard Software to handle multiple, large data sets.