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, For Display Purposes Only should be more popular than Qrvey. It has been mentiond 4 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.
I’ve been using https://displaypurposes.com but it’s not great. It results in a lot of either irrelevant tags or just not great ones (#landscape isn’t really doing anyone any favors). Source: about 2 years ago
I'm a hobby photog, and I've recently noticed that im gettin way less ( 10-20 instead of 60-80 ) likes on insta. To be honest I don't care much about imaginary points on the internet, but they're a good measure that how many people I reach with my posts. Im still using the method that I've used earlier: - tagging 19-20 accounts on the pic - one-three hashtag in the title - 29-27 hashtag in comment ( depends... Source: over 2 years ago
Https://displaypurposes.com/ has worked well for me. Not so great if you are building hashtag ladders though. Source: about 3 years ago
For help with hastags, use https://displaypurposes.com/ - you put in a couple of hashtags you plan to use, it auto selects 30 tags related to yours, shows a graph next to each showing popularity and relevance, and you can select or deselect from the generated list. Then copy/paste to your post. It's not a guarantee to grow your posts and it may not have all of the niche hashtags people use. But it's a starting... Source: about 3 years ago
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
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