Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.
Qrvey’s multi-tenant data lake includes:
Qrvey’s embedded visualizations support everything from: - Standard dashboards and templates - Self-service reporting - User-level personalization - Individual dataset creation - Data-driven workflow automation
Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.
The result: Less time and money on analytics.
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Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer
Qrvey takes a different approach to embedded analytics. Instead of focusing almost completely on the front end, we know that any analytics function starts with data.
Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.
For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards. Qrvey offers:
All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.
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Customers choose Qrvey for the following reasons:
Based on our record, Uguu.se should be more popular than Qrvey. It has been mentiond 7 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.
Since you're on AWS already, check out https://qrvey.com. Source: 6 months ago
I will be creating some of my own maps that will be high res. And large in size. I'll upload them on an uguu.se or pomf.se clone or EasyZoom. You'll need a computer that can handle that kind of material. I may use something like https://new.tableplop.com or https://tarrasque.io/signup for maps. Again, you need to have access to a computer if it won't run on mobile (I have no idea, and that's not a concern of mine... Source: almost 2 years ago
But the file itself is not private, right? You could upload it to some public file hosting site. Try this: https://uguu.se/. Source: almost 2 years ago
Also, edid file should be /sys/class/drm/card0/card0-eDP-1/edid, upload it somewhere like https://uguu.se and I can take a look to extract stock timings. Source: about 2 years ago
Looking at Pomf (which now seems to be Uguu), it seems to be anonymous uploads + anonymous downloads. PicoShare is private uploads + anonymous downloads, so the instance admin can upload and share files, but nobody else can upload files or view the file index. Source: about 2 years ago
It's strange - litterbox is not working for me anymore since this morning (testing with fresh uploads). However, I found a similar site at https://uguu.se/ and that's working A-OK. Source: over 2 years ago
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