Burst Statistics
Matomo
Google Analytics
Counter
Plausible.io
WP Statistics
Slimstat Analytics
Koko Analytics
Amazon EMR
Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Databricks
Qubole
Snowflake
HortonWorks Data Platform
Get detailed insights into visitors’ behaviour with Burst Statistics, the privacy-friendly analytics dashboard from Really Simple Plugins.
*Essential Metrics: Pageviews, Visitors, Sessions, Time on Page and Referrers. *Privacy-friendly: Locally hosted, and anonymized data in collaboration with Complianz. *Cookieless Tracking: Get data based on anonymous parameters without storing data in browsers. *Optimized: Built for performance and data minimization. *Flexibility: Have your own idea how Bounce Rate should be measured? Configure your own metrics. *Open-Source: We see our users as collaborators, so please feel free to use the below links to help us out building the best analytics tool for WordPress.
Burst Statistics Amazon EMRBurst Statistics's answer
Every WordPress user with the desire to gather essential site statistics, while still respecting international privacy legislation like the GDPR and CCPA.
Burst Statistics's answer
Gathered data is stored on your server, Burst Statistics (or anyone else) has no access to your data. Furthermore, Burst is developed by privacy-specialists and respects international privacy legislation.
Burst Statistics's answer
Burst Statistics is developed by the developers of Complianz GDPR/CCPA Cookie Consent, as an alternative for Google Analytics and other tools that are not built with privacy in mind. Data about your website and visitors should be yours, and not accessible by anyone else.
Burst Statistics's answer
WordPress, PHP, JavaScript, React.
Burst Statistics's answer
Cookiedatabase.org
Burst Statistics's answer
Based on our record, Amazon EMR should be more popular than Burst Statistics. It has been mentiond 10 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.
Statify: free and extremely simple - https://statify.pluginkollektiv.org/documentation/ Burst: free, well-coded and absolutely best-in-class - https://burst-statistics.com/. Source: over 1 year 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: over 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
Matomo - Matomo is an open-source web analytics platform
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
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 Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Counter - Counting characters and words in the text layer.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost