Fathom Analytics
Plausible.io
Google Analytics
Matomo
Simple Analytics
umami
Clicky
Mixpanel
Apache Arrow
Pandas
Apache Parquet
Apache Spark
DuckDB
KNIME Analytics Platform
HPCC Systems
Splunk Enterprise
Fathom Analytics Apache ArrowBased on our record, Fathom Analytics should be more popular than Apache Arrow. It has been mentiond 66 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.
So this post is about something I've been chewing on for months but finally moved on: ripping Google Analytics out of three side projects and picking a privacy-focused alternative. Specifically, I'll compare Umami, Plausible, and Fathom โ the three I actually evaluated โ and walk through the migration steps that worked for me. - Source: dev.to / 2 months ago
Fathom is the most "premium" option. No self-hosted version โ it's a paid product, and they lean into that. The upside is it just works, with excellent uptime and performance. - Source: dev.to / 3 months ago
Fathom takes a different approach โ it's a proprietary, hosted-only product. No self-hosting option. They've bet everything on being the simplest, most privacy-respecting paid analytics tool. - Source: dev.to / 3 months ago
I've been using Umami for this โ it's a self-hosted, privacy-focused analytics tool that doesn't require cookie banners and is fully GDPR-compliant out of the box. Compared to alternatives like Plausible (also excellent, but their hosted plan costs more) or Fathom (hosted-only, pricier), Umami hits a sweet spot of simplicity and zero cost if you self-host. You get clean dashboards showing endpoint usage, response... - Source: dev.to / 3 months ago
Fathom is the premium option. It's not open source and not self-hostable, but it's rock solid and has excellent uptime. Starts at $15/month. - Source: dev.to / 3 months ago
I had no idea what Arrow is: https://arrow.apache.org or arrow-rs: https://github.com/apache/arrow-rs. - Source: Hacker News / 11 months ago
- Open source: Pontoon is free to use by anyone Under the hood, we use Apache Arrow (https://arrow.apache.org/) to move data between sources and destinations. Arrow is very performant - we wanted to use a library that could handle the scale of moving millions of records per minute. In the shorter-term, there are several improvements we want to make, like:. - Source: Hacker News / 12 months ago
Apache Arrow : It contains a set of technologies that enable big data systems to process and move data fast. - Source: dev.to / over 1 year ago
One of the main selling points of Polars over similar solutions such as Pandas is performance. Polars is written in highly optimized Rust and uses the Apache Arrow container format. - Source: dev.to / over 1 year ago
Kotlin DataFrame v0.14 comes with improvements for reading Apache Arrow format, especially loading a DataFrame from any ArrowReader. This improvement can be used to easily load results from analytical databases (such as DuckDB, ClickHouse) directly into Kotlin DataFrame. - Source: dev.to / about 2 years ago
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 ๐ช๐บ
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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.
Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
Matomo - Matomo is an open-source web analytics platform
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
