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, Shotcut seems to be a lot more popular than Qrvey. While we know about 115 links to Shotcut, 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
Any good open source video editor for Windows? Top google results include https://www.openshot.org/ and https://shotcut.org/, but both don't have obvious links to the code repositories and it took me a while to find them which is often not a good sign. - Source: Hacker News / 4 months ago
Does anyone know how it compares with Shotcut[1]? It's free, open source, and works on Windows, Mac and Linux. I've been a happy user for a while. [1] https://shotcut.org/. - Source: Hacker News / 5 months ago
Shotcut (to put them together at the same framerate and size). Source: 5 months ago
I used OBS to capture my screen, shotcut to edit the video, and this command to create a gif (Shotcut also supports exporting to a gif, but it seems to take longer to process). - Source: dev.to / 7 months ago
To set the test up, I used OBS, Shotcut, and Excel. As a comparison to Infinite I used H3 MCC and the PC Forge version of H5. Unless otherwise stated, I used a keyboard as an input device in order to reduce the variation between tests, since the analog nature of controller thumb sticks could affect the results. I programmed a keyboard macro to hold A for a period of time, then immediately switch to holding D for a... Source: 8 months ago
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