Qrvey VS Semantic UI
Compare Qrvey VS Semantic UI and see what are their differences
B2B SaaS: Make your app enterprise-ready!
Authentication - SAML/OIDC SSO, Directory Sync (SCIM 2.0), Audit Logs, Data Privacy Vault, and more!
featured
Qrvey
DevicePilot
AnswerRocket
Syndigo
Amdocs CES
Yellowfin
Toucan Toco
Omniscope
Semantic UI
Bootstrap
Materialize CSS
UIKit
Foundation
Bulma
Tailwind CSS
Material UI
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.
Qrvey Semantic UINo 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
Customers choose Qrvey for the following reasons:
Qrvey's answer
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, Semantic UI seems to be a lot more popular than Qrvey. While we know about 17 links to Semantic UI, 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
What stack are you using? I personally recommend utilizing readily available components: https://ui.shadcn.com/ https://mui.com/ https://semantic-ui.com/ etc.. - Source: Hacker News / 5 months ago
Are you cool with JS frameworks? If so, you can use a higher level of abstraction that takes care of the CSS for you. If you just want to mock something up, you can use a pre-built UI system / component framework and just put together UIs declaratively, without having to worry about the underlying CSS or HTML at all. Examples include https://mui.com/ and https://chakra-ui.com/ and https://ant.design/ Really easy... - Source: Hacker News / 6 months ago
Honestly you should build a webpage and use a UI library if you want markdown with some extra pop. Check out semantic ui. Source: over 1 year ago
A lot of proof-of-concept and MVP projects start out with a number of libraries meant to be temporary. Maybe the app was using Chakra UI for its modal and custom buttons, while the rest of the imported library is just dead weight. Perhaps developers have been spending more time adjusting Semantic UI’s styling to match the designs than it’s worth. - Source: dev.to / over 1 year ago
Semantic UI Semantic is a development framework that helps create beautiful, responsive layouts using human-friendly HTML. - Source: dev.to / over 1 year ago
DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.
Materialize CSS - A modern responsive front-end framework based on Material Design
Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.
UIKit - A lightweight and modular front-end framework for developing fast and powerful web interfaces