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
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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, TinyURL should be more popular than Qrvey. 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.
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
u/Migmag360 The reason your post cannot be posted and/or approved by us is because it contains a Bitchute link--which reddit bans. You have to mask the link using TinyURL. And then re-post it again with the new link instead. Source: over 1 year ago
u/fedx0 I have approved this post, the reason it's still banned by Reddit is because of the Bitchute links, you cannot post Bitchute links on Reddit. If you remove the links to Bitchute, or disguise the Bitchute links using TinyUrl and re-post the article, then it should be fine. If not then you will have to post the article somewhere else, then post the link to it on here instead. Source: almost 2 years ago
Let's design a URL shortener, similar to services like Bitly, TinyURL. - Source: dev.to / almost 2 years ago
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