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Qrvey
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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.
Postman QrveyNo 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:
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.
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Based on our record, Postman seems to be a lot more popular than Qrvey. While we know about 27 links to Postman, 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.
Once deployed, thoroughly test your serverless function to confirm it behaves as expected. Invoke the function manually from the cloud platform’s console or use tools like Postman, Apidog, or Fusion ( Fusion is ApyHub’s own API Client ) to test HTTP-triggered functions. Ensure the function executes correctly and handles errors gracefully. - Source: dev.to / 2 months ago
To test the API endpoints, you can use Postman. Download and install Postman from Postman's official website. - Source: dev.to / 3 months ago
Postman — Simplify workflows and create better APIs – faster – with Postman, a collaboration platform for API development. Use the Postman App for free forever. Postman cloud features are also free forever with certain limits. - Source: dev.to / 4 months ago
The API tests were dirt simple. I use the SAM CLI to build and deploy my cloud resources to AWS. So when I was building the API, I would deploy to my account using the CLI in VS Code, then immediately run a collection in Postman using their VS Code extension. I never had to leave my IDE and could run a full end-to-end workflow within seconds of my deployment being complete. All I had to do was switch tabs to my... - Source: dev.to / 5 months ago
I had the network guys opening up for getpostman.com and postman.com because it said so when trying to log in to Postman. And just when I click login it jumps to postman.co just forgetting the m. Are you kidding me? Who came up with this? You probably cost me this days work. Source: 6 months ago
Since you're on AWS already, check out https://qrvey.com. Source: 6 months ago
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