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.
Plausible Analytics is not designed to be a clone of Google Analytics. It is meant as a simple-to-use replacement and a privacy-friendly alternative that can help many site owners.
It's quick, simple to use and understand with all the metrics displayed on one page. Doesn't track hundreds of metrics like Google Analytics does
Lightweight script of less than 1 KB so sites load fast. The script is 45 times smaller script than the Google Analytics one
Doesn't use cookies so there's no need to worry about cookie banners
Doesn't track personal data so it's compliant with GDPR out of the box and you don't need to worry about asking for data consent
It's open source with the code available on GitHub so you can even self host exactly the same product free as in beer
Unlike Google Analytics, the cloud product is not free as in beer because the business model is subscriptions rather than selling the data of your visitors. Plausible Analytics is bootstrapped without any external funding so the subscription fees help cover the costs and time spent on development.
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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:
I've been using plausible since Sep 2019 and never had any doubts about it. It provides me with everything I need related to visitor stats while keeping privacy in first place.
It doesn't slow down my website loading speed (it's amazing, it's less than 1KB in size!), is not blocked by adblockers since it's not really a tracker tracker, and owners are super cool and they actually respond to every inquiry you could possibly have.
If you're looking for de-googling your stuff, you can start with Plausible :)
I tried several analytics tools prior to Plausible, namely Google Analytics and later on Matomo. I found both to be fairly complicated for my usage which is a personal blog. Complicated in the way I had to install and use them. Plausible's simple to set up approach combined with a very clean and inviting user interface was a breath of fresh air. It's simple and clean enough that it actually makes me want to check and analyse my traffic which is a feeling I never thought I'd have having tried alternatives.
It offers clear information about what I really need, without distractions, without advertising and does not slow my site.
Based on our record, Plausible.io seems to be a lot more popular than Qrvey. While we know about 189 links to Plausible.io, 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
# Function to get Plausible Analytics timeseries data Def get_plausible_timeseries_data(): # Calculate the date range for the last 90 days date_to = datetime.today().strftime('%Y-%m-%d') date_from = (datetime.today() - timedelta(days=90)).strftime('%Y-%m-%d') # Setting the metrics we want to look at metrics='visitors,pageviews' # Actually pulling the data we want url =... - Source: dev.to / 19 days ago
I think a single Google Analytics alternative is pretty hard to pick considering that GA can be used to very much varying extents. For simple and "detailed enough" insights, I enjoyed using Plausible (https://plausible.io/) in the past. For more in depth analytics that give you a detailed view into your own product, PostHog.com seems to be by far the best and most popular option out there. - Source: Hacker News / about 1 month ago
I could do the same exercise with Google Analytics and Google Tag Manager, but luckily I don't need to, since Plausible already did. A piece of advice, rip out Google Analytics and use Plausible instead. It first of all doesn't destroy your website, and secondly it doesn't violate the GDPR - So you can embed it on your site without having to warn your visitors about that they're being spied on by Google. - Source: dev.to / about 2 months ago
Also, currently we are using https://plausible.io/ for analytics. No other bugs. - Source: Hacker News / about 2 months ago
I just swapped out Google Analytics with Plausible for AINIRO.IO. It’s only been a week, but so far I am super jazzed about it. First of all, Plausible doesn’t use cookies, so I can completely drop all cookie disclaimers and popups I had because of GDPR. Second of all, the site scores significantly better on load time. This results in a 10x better user experience for my website visitors, while making sure the... - Source: dev.to / about 2 months ago
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