Designed for external use cases where SaaS companies need to provide their customers with powerful and customizable analytics capabilities.
Qrvey is the only full stack solution that offers all the embedded visualization and self-service analytics tools along with a unified data pipeline that offers a data lake optimized for multi-tenant analytics.
Qrvey's embedded visualizations empower engineering teams to build custom experiences, along with full white labeling and CSS customization options to make Qrvey’s javascript widgets blend seamlessly into a SaaS application. ⋅⋅* Qrvey’s data-driven automation workflows enable the creation of complex workflows based on data triggers, such as conditional logic, nested functions, data write-backs with notification integrations to third party systems such as Slack. ⋅⋅* Qrvey supports natural language querying of data using generative AI to easily spot trends and outliers, augmented analysis capabilities. ⋅⋅* Qrvey also supports pixel perfect reporting to generate printable reports from the same analytics data.
Qrvey simplifies data management by providing a single data pipeline solution featuring a data lake solution that is optimized for multi-tenant analytics. This contains native data connectors and APIs to ingest data in any type from any source, including real-time data with live connections. ⋅⋅* Qrvey’s semantic layer can inherit and map security models from your multi-tenant SaaS application, saving software development teams the hassle of duplicating users and roles. ⋅⋅* Qrvey’s robust API allows you to create data delivery services and managed download functions that go beyond basic exporting.
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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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Customers choose Qrvey for the following reasons:
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Qrvey's approach to embedded analytics is different. Qrvey combines the best of BI, data warehousing, and data visualization into a single solution built exclusively for SaaS applications.
Qrvey's key features include:
100% Embeddability - Everything is embeddable with JS based components that supports full white labeling so you can create unique analytics experiences within your SaaS application.
Data Warehouse included - Visualizations are useless without a scalable data layer built specifically for analytics use cases. Qrvey includes native multi-tenant support so your data is ready for your multi-tenant SaaS application. This includes data syncing and API support that allows for any type of data to be ingested into the Qrvey data layer.
Self-Hosted - Deployed to Your AWS Environment. Customers get ultimate control as Qrvey is deployed to their AWS environment inheriting and respecting their security policies. Your data never leaves, but it's ready for analytics now.
Based on our record, React seems to be a lot more popular than Qrvey. While we know about 775 links to React, 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: 5 months ago
For this project, there is a frontend built with React hosted on Netlify, connected to the backend. - Source: dev.to / about 1 month ago
React: A JavaScript library for building user interfaces. - Source: dev.to / about 1 month ago
In this article we have seen a practical guide to using HTTP streaming for efficient data visualization in Next.js web applications. We have explored how create and customize an instance of ReadableStream, creating a Response object specialization that accepts it as a result body. To test we have used a NextJS Route Handler. Additionally, to consume data chunk over http, we have developed a... - Source: dev.to / 2 months ago
React is a JavaScript library for building user interfaces. React gives you a template language and some function hooks to render HTML. Your bundles of HTML/JavaScript are called "components". - Source: dev.to / 3 months ago
When dealing with frontend libraries or frameworks such as React, using the Fullscreen API directly may be difficult because of the way the framework handles the DOM. In scenarios like this, you can opt for an external library, such as react-full-screen, to handle full-screen logic. This enables you to elegantly implement full-screen functionality on a React component. - Source: dev.to / 3 months ago
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