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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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, TinEye seems to be a lot more popular than Qrvey. While we know about 922 links to TinEye, 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: 6 months ago
I have a bit of an image-hoarding obsession and spend a lot of time researching pictures I find online in great depth. This involves using sites like tineye.com, Reddit, and Pinterest to identify the source of an image, then tracking down the history, maker, and theory behind it. It's all hobby-based - mainly focused on art, photography, museum oddities, antiques, and fashion that I like. Basically anything... Source: 6 months ago
Used TinEyeto find other places these images ate shared on. No results yet. Source: 6 months ago
Your post has been removed as it's a repost from the past month or one of the top post of all time. Please avoid re-posting memes. Please check http://karmadecay.com, https://tineye.com , or the Google's "Similar Image" search in the future before posting. All of those miss things, but it's a great start. Also make sure to use the search button and check through this link: www.reddit.com/r/im14andthisisdeep/top... Source: 7 months ago
Reposts from the past three months or from the top posts of all time are not allowed. To check if your submission has already been posted here, use KarmaDecay, TinEye, or Google's "Search by image" feature before posting. Source: 10 months ago
Include your submission source in your post's comments. When linking your source, please post it as a top-level comment (directly on the post itself and not replying to another comment) and include one of the following keywords (not case-sensitive): source, original, or credit. Repeatedly breaking this rule may subject you to a temporary ban. You may use sources such as TinEye and Google Image Search to help you... Source: 11 months ago
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