Enago Read is an AI-based online Reading Assistant tool that helps researchers and publishers with literature review, critical reading, concept extraction, semantic knowledge mining, content discovery, and recommendation.
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.
Enago Read's answer
Researchers, Thesis Researchers, Academic Researchers etc
Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Enago Read's answer
Enago Read is a service provided by Enago, a company that offers various services for academic and scientific researchers, including language editing, publication support, and translation services. Enago Read is an innovative platform designed to help researchers and academics discover, browse, and access research articles and academic content more efficiently.
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:
Enago Read's answer
The story behind Enago Read revolves around a deep commitment to empowering researchers on their academic journey. Enago recognized the many challenges faced by researchers during their quest for knowledge and academic excellence. The team understood that researchers often struggled to find the most relevant and up-to-date research articles, wasting valuable time sifting through vast volumes of information.
With a vision to revolutionize the way researchers discover and access scholarly content, Enago set out to create a personalized intellectual partner for every researcher – and thus, Enago Read was born. The driving force behind this endeavor was to intelligently assist researchers during the most challenging situations of their research journey.
Enago Read's journey began with a profound understanding of researchers' needs and aspirations. The team aimed to build a platform that would not only be a repository of academic content but also a highly intuitive and user-friendly tool. They envisioned a service that could cater to each researcher's specific interests and preferences, providing personalized content recommendations to fuel their intellectual growth.
Enago Read's answer
Artificial Intelligence.
Based on our record, Qrvey seems to be more popular. It has been mentiond 1 time 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.
Since you're on AWS already, check out https://qrvey.com. Source: 6 months ago
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