Description de QrveyQrvey simplifie l'analytique sur AWS grâce à une plateforme tout-en-un qui permet aux entreprises de dépasser les visualisations et d'inclure l'ensemble de leur pipeline de données. Il intègre la collecte de données, la transformation, l'analyse, l'automatisation et le machine learning à l'aide d'une architecture sans serveur basée sur des microservices, hautement flexible, évolutive et rentable. Conçu pour répondre aux besoins en données modernes, Qrvey accepte les sources de données sombres semi-structurées et non structurées. Il convient parfaitement aux cas d'utilisation intégrés et distribués.
Qui utilise Qrvey ?
Les fournisseurs de logiciels et SaaS pour l'analytique intégrée et distribuée. Les fournisseurs de services pour le développement d'applications. Les services en entreprise consacrés à l'analytique cloud native sur AWS.
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Alternatives envisagées :
The best choice for modern cloud analytics, especially if embed is a priority
Commentaires : I've had a great overall experience with Qrvey, both as an analyst using the tool to generate reports/insights and as a consultant setting up Qrvey installations. It's a very powerful tool that also manages to be easy to use and teach.
My litmus test for analytics software is whether you can use it to drive insight/action that offsets the license & implementation cost of the tool - I think Qrvey is more than capable of this. It can ingest and harmonize a wide range of data, and ever supports creating forms for data collection The UI is very clean, but also manages to pack in a lot of features and customizability. Comes with a full fleshed-out workflows/automation tool out-of-the-box. This makes it possible to set up scheduled exports and integrations without having to bring in a separate automation tool. Extremely customizable in the embed scenario - you can put a chart right into your own web app without iFrames, and even embed the chart builder. If you already use AWS, it fits right into your environment.
Qrvey is a relatively new player in the analytics space, which means it doesn't yet have the kind of ecosystem around it that something like PowerBI does. For our use case, though, the difference in featureset (chiefly embeddability) outweighed this. There are some more obscure chart types I'd like to see added, but I believe it's on the roadmap. If you're not familiar with APIs or cloud services, some administrative tasks might be difficult. There is a graphical administration page, though.
Alternatives envisagées :
Fantastic Analytics Platform
We had a choice of using other analytics solutions and the reason why we went with Qrvey: - The platform deploys to our AWS instance which gave us the ability to manage ourselves - The feature of easily embedding visualizations into other applications - The powerful features like workflow automation
This is always hard question to answer because everything has it's flaws, but in the case of Qrvey, we haven't found anything as of yet.
Great solution for data collection and analytics
Commentaires : My experience overall with Qrvey was positive. As I said, the platform is comprehensive. However the ability to connect various datasets is valuable. And the reports and dashboards are stellar.
Ability to connect various datasets and make dashboards without the need of engineers. Great customer support.
Due to a comprehensive platform at times it can be hard to know where to start. Sometimes too much functionality can be confusing.
Commentaires : From day one the Qrvey Team have been awesome to work with, we created synergetic environmental of shared mutual success.
I love to no code low code functionality, the versatility of use cases/instances. I am impressed that Qrvey App is capable of handling many different types of data structure/unstructured
I have not encountered any shortcoming or downfalls with the software