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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Qrvey's answer:
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.
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Based on our record, Minimal Google Analytics Snippet should be more popular than Qrvey. It has been mentiond 5 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.
Https://davidkunnen.com my personal site https://stockevents.app my main project https://minimalanalytics.com something I made some time ago that people liked. - Source: Hacker News / about 3 years ago
Because of that, people have been using Minimal Google Analytics Snippet as a solution. According to minimalanalycs.com website, the Google Tag Manager + Analytics can weigh 73kB (mine weights 93kB!) where the snippet weights only 1.5kB. It looks small but this is a big difference if it's going about web performance. - Source: dev.to / about 3 years ago
To solve this problem, but maintain basic use of your analytics, you can replace Google's tracking method with a snippet, a portion of it, that will do exactly what you need. This snipped is called Minimal Google Analytics and was prepared by DavidKuennen and published in unminified form on GitHub Gist. - Source: dev.to / over 3 years ago
Why not use Minimal Google Analytics which is only 1.5KB in size but it doesn't support full-blown GA or use Analytics JS which is 17KB which support everything except Autotrack (my knowledge) but is prone to Bots. Source: over 3 years ago
I created https://minimalanalytics.com some years ago. - Source: Hacker News / about 4 years ago
Since you're on AWS already, check out https://qrvey.com. Source: over 1 year ago
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