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, Metriport seems to be a lot more popular than Qrvey. While we know about 24 links to Metriport, we've tracked only 1 mention of Qrvey. 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
• Cronometer With these initial integrations, we plan to add many more to this list, including Garmin, Apple Health, and Google Fit in the near term. We work very closely with our customers, so if there’s an integration you need that’s not currently on roadmap, we’re more than happy to add it and build it into our API. Because we’re also open-source, developers can fork our code and build their own custom... - Source: Hacker News / over 1 year ago
As some of you may have already saw, over the summer we made the difficult decision to pivot our business, and go after a similar problem in the healthcare space, with the main goal to make healthcare data more accessible. For those interested in finding out more about this, you can check out this recent write up about us, or check out our newly revamped website. Source: over 1 year ago
Sweet, feel free to check it out here and let us know what you think :). Source: almost 2 years ago
My friend and I are both Apple Watch owners and we made an app this year to get better insights into our data, but now we're looking at other wearables out there to see what else is possible in terms of unique data and insights. Curious to see hear from those in this community of why they chose to go with Whoop! Source: almost 2 years ago
5 months ago, we made a post here telling the story of what we learned from quitting our jobs to build and release Metriport from scratch in 11 weeks. We wanted to follow up since that post, as a lot has happened since then, including getting featured on TechCrunch and more recently getting accepted into Y Combinator's S22 batch of startups. Source: almost 2 years ago
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