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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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, Insomnia REST seems to be a lot more popular than Qrvey. While we know about 120 links to Insomnia REST, 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.
Use tools like Postman or Insomnia to test the API endpoints and ensure they behave as expected. - Source: dev.to / 28 days ago
We will be performing all of the authentication requests manually, however for testing purposes, you might want to use an API testing tool such as Postman or Insomnia. - Source: dev.to / about 1 month ago
For a very long time, the go-to tool was curl. Great, always available command line tool. Unfortunately, there is one small issue. It’s hard to keep requests and collect them in collections, it’s great for one-time shots or debugging, but for constant working with API could be painful. To solve it, I started working with tools like Postman/Insomnia. Then eh... Strange licensing model, or changes which occurred... - Source: dev.to / 2 months ago
At first, I used Postman for testing APIs because it had a lot of features. But I switched to Insomnia because it was easier to use and kept everything organized. The big problem with Insomnia was that it deleted all my saved work when it made me create an account to keep using it. - Source: dev.to / 2 months ago
Often used for cases where a project exposes a REST or other type of API service. Open API is a popular method of documenting such API services. It can also be used along side tools such as Swagger Codegen to produce boilerplate code for API interaction / testing purposes. There may also be support files for popular API testing tools such as Postman or Insomnia. This makes it easier at a glance to see what data is... - Source: dev.to / 4 months ago
Since you're on AWS already, check out https://qrvey.com. Source: 5 months ago
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