Based on our record, Matomo should be more popular than Amazon EMR. It has been mentiond 82 times since March 2021. 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.
Matomo just released their major v5 upgrade with following key improvements:. - Source: dev.to / 5 months ago
There are many good, lightweight, and open-source alternatives to Google Analytics, such as Plausible, Matomo, Fathom, Simple Analytics, and so on. Many of these options are open-source, and can be self-hosted. - Source: dev.to / 6 months ago
You can for example use analytics that aren't spyware, and hence don't even have to try to trick users giving "consent" to things they don't really want. Seriously: what share of people actually want their behavior to be tracked for ad companies to make more money? https://matomo.org/. - Source: Hacker News / 8 months ago
Matomo is a GDPR-compliant and open-source analytics platform. You can either host it yourself or use Matomo’s hosted version. https://matomo.org/. - Source: Hacker News / 8 months ago
I tried the self-hosted version of Matomo [1][2] a few years back but I remember it was a bit underwhelming for the effort required to set it up. https://matomo.org. - Source: Hacker News / 11 months ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Clicky - Clicky Web Analytics is a simple way to monitor, analyze, and react to your blog or web site's traffic in real time.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?