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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, Nanos seems to be a lot more popular than Qrvey. While we know about 12 links to Nanos, 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.
Erlang on Xen was most definitely an inspiration behind what we're working on with https://nanos.org . - Source: Hacker News / 26 days ago
I am a bit confused, there are three sites: * https://nanos.org/ * https://nanovms.com/ * https://ops.city/ And I am not sure what "thing" I am using. Is there some disambiguation? I know is OPS is the orchestration CLI, but I am confused at the difference between Nanos and NanoVMs. What should I call the section of my README that deals with this tech? Currently gone with Nanos/OPS but I am confused. - Source: Hacker News / 3 months ago
Forgot to mention this but https://nanos.org is also related with https://nanovms.com (to deploy unikernels) and ops.city (which handles the package distributions), so it's like a whole ecosystem. I wonder why Alpine linux won over this though? - Source: Hacker News / 3 months ago
I work with https://nanos.org && https://ops.city - we can run thousands of these on commodity hardware. - Source: Hacker News / 6 months ago
Unik was just a build tool that utilized other projects like Rump, Mirage, IncludeOS, etc. It's now dead since Solo pivoted a very long time ago to service mesh/api gateways. The GoRump port they use was from us and then we realized we needed to code our own from the ground up for many reasons so we wrote https://nanos.org (runs as a go unikernel in GCP). - Source: Hacker News / 6 months ago
Since you're on AWS already, check out https://qrvey.com. Source: 6 months ago
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