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, Node.js seems to be a lot more popular than Qrvey. While we know about 806 links to Node.js, 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
First, ensure you have Node.js installed on your system. If you haven't already, you can download it from nodejs.org. - Source: dev.to / about 5 hours ago
Node.js and npm: Ensure you have Node.js and npm (Node Package Manager) installed on your machine. You can verify this by running node -v and npm -v in your terminal. If not installed, download them from the official Node.js website. - Source: dev.to / 5 days ago
In this article, we explored how to use bcrypt in a Node.js application with Mongoose to securely hash and verify passwords. We covered the installation of bcrypt, the implementation of password hashing using Mongoose pre save middleware, and the use of Mongoose instance methods for password comparison during login. By following these steps, you can enhance the security of your application authentication system,... - Source: dev.to / 4 days ago
Now, let’s dive into the fun part: building a chatbot using Node.js, LangChain, and OpenAI. We’ll focus on how prompt engineering can enhance the chatbot’s responses. - Source: dev.to / 12 days ago
You need to install node by going to Nodejs website NodeJS website. - Source: dev.to / about 1 month ago
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