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.
No features have been listed yet.
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, Rust seems to be a lot more popular than Qrvey. While we know about 44 links to Rust, 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.
Let's dive back into Rust! This time we're going to be going through the lesson called "Enums and Pattern Matching". We're going to be looking at inferring meaning with our data, how we can use match to execute different code depending on input and finally we'll have a look at if let. - Source: dev.to / 4 months ago
We will be using rust. Rust is a very simple to use memory and type safe language that is excellent for building cool and reliable CLI’s. In fact it has quickly become the number one tool for building CLI’s. I’ll dive into more on why rust CLI’s are good in a future blog post, so stay tuned for that. So, with that, let’s get our project set up. Install rust on your machine if you have not already. You can do so... - Source: dev.to / 10 months ago
This is the subreddit of the Rust programming language. You’re welcome to start learning it, but the subreddit you’re looking for is r/playrust. Source: about 1 year ago
The Rust Project certainly has slogans. The web site says, for example:. Source: about 1 year ago
Hello rustaceans, this is my first usable rust project which is a simple local http server. Posting here to get feedback on what I have done incorrectly or not in a idiomatic way and how to fix them in a idiomatic way. Cheers :). Source: over 1 year ago
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
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