Based on our record, Paperless should be more popular than Qlik. It has been mentiond 3 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.
A synology wouldn't be able to run a document management server software though, would it? Specifically Paperless (https://marinersoftware.com/product/paperless/) and MySQL. Source: about 3 years ago
I went through this a decade or so ago when I realized when I was moving that a quarter of the boxes I moved were full of paper. I am currently storing everything in Mariner's Paperless. Https://marinersoftware.com/product/paperless/e Everything is in PDF so easily exportable but the scanner integration and the workflow make everything easier. Source: about 3 years ago
I've been a big user of paperless from Mariner software. https://marinersoftware.com/product/paperless/. Source: over 3 years ago
All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: about 3 years ago
Papermerge DMS - Open source document management system designed for archiving and retrieving your digital documents. Instead of having piles of paper documents all over your desk, office or drawers - you can quickly scan and upload them to Papermerge DMS.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Paperless-NG - A supercharged version of paperless: scan, index and archive all your physical documents - jonaswinkler/paperless-ng
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Mayan EDMS - Document management without the headaches.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.