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, IQDB seems to be a lot more popular than Qrvey. While we know about 66 links to IQDB, 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.
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
A post containing non-OC artwork should link the original source in the comments. "Art" post should credit the artist in the title. Original source should link to the artist's own post of the artwork and not from image aggregating sites such as Pinterest, Zerochan, Danbooru, etc. If you cannot find the original creator, then please try using SauceNAO or IQDB. Do not repost an art if its artist does not allow repost. Source: 6 months ago
Non-OC artwork post should credit the artist in the title and should link the original source in the comments. Original source should link to the artist's own post of the artwork and not from image aggregating sites such as Pinterest, Zerochan, Danbooru, etc. If you cannot find the original creator, then please try using SauceNAO or IQDB. Make sure that the artist allows repost. Source: 10 months ago
Removed, rule 5 warning: you must be prepared to provide the source artwork/artist in the comments when submitting. Please use SauceNAO or IQDB to help you. Source: about 1 year ago
When posting art you didn't make, credit the original artist in the title and provide a source link. Provide the URL to the original post made by the artist or link the artist's primary platform. If you cannot find the original creator, then please try using SauceNAO or IQDB. Source: about 1 year ago
Please try to provide the source for fan art. Iqdb and Yandex are good tools for helping you find a source. Source: about 1 year ago
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