Apiary
Postman
Apigee
Django REST framework
Amazon API Gateway
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Paw.cloud
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Qrvey
DevicePilot
Syndigo
AnswerRocket
Amdocs CES
Yellowfin
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Toucan Toco
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.
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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:
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, Apiary should be more popular than Qrvey. It has been mentiond 7 times since March 2021. 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.
Apiary.io — Collaborative design API with instant API mock and generated documentation (Free for unlimited API blueprints and unlimited users with one admin account and hosted documentation). - Source: dev.to / 4 months ago
As for the actual process of building the contract, what works well for me is using API Blueprint-style Markdown in a compatible tool like Apiary, which renders your content into Swagger-like documentation as you type. This way, I and others can mutually "live-scribe" the API contract as we discuss, and seeing it on-screen helps to get people on the same page (and sometimes highlight potential issues that would... Source: about 1 year ago
Can design your own mock rest api using https://apiary.io/. Source: over 1 year ago
I use service apiary to generate a JSON response from the server:. - Source: dev.to / about 2 years ago
The first big challenge you might face is which platform to use for your docs. Some simple projects just use the github wiki as a way to serve the documentation, which works well for simpler things, but the reality is that, for medium to large projects, such tools are far from being enough, so you'll probably have to resort to some other options such as Apiary, Read the Docs or even a combination of tools, such as... - Source: dev.to / over 2 years ago
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
Postman - The Collaboration Platform for API Development
DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.
Apigee - Intelligent and complete API platform
Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.
Django REST framework - Django REST framework is a toolkit for building web APIs.
AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.
