Fathom Analytics Reviews

PostgresML Reviews

Fathom Analytics mentions (66)

• Migrating Off Google Analytics: Umami vs Plausible vs Fathom

  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 — the three I actually evaluated — and walk through the migration steps that worked for me. - Source: dev.to / 2 months ago

• Google Analytics Alternatives: Umami vs Plausible vs Fathom in 2026

  Fathom is the most "premium" option. No self-hosted version — 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

• Migrating from Google Analytics to Privacy-Focused Alternatives

  Fathom takes a different approach — 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

• Qwen 3 vs Llama 3: Configuring Local LLMs for Actual Performance

  I've been using Umami for this — 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

• Blocking AI Crawlers vs. Letting Them In: A Practical Defense Guide

  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

PostgresML mentions (7)

• AI-pipe: Pipeline for generating/storing embeddings from AI models to DB with data scraped from sites using custom scripts

  The web service supports generating embeddings from OpenAI and Ollama AI models. It also provides a fallback for users without access to AI models running on a remote server through PostgresML. - Source: dev.to / over 1 year ago

• Better RAG Results with Reciprocal Rank Fusion and Hybrid Search

  That's outside of the database, though. This is more like what I had in mind -- I just found it: https://postgresml.org/. - Source: Hacker News / about 2 years ago

• How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era

  Some excellent tools were created to represent these tasks "naturally" in SQL and even let most of the computation happen inside the database. PostgresML is a great example. It's built above PostgreSQL and provides a set of functions that allow you to train and use machine learning models with SQL. Here's how you can train a classification model for the classic handwritten digit recognition problem:. - Source: dev.to / over 2 years ago

• A Year of Self-Hosting: 6 Open-Source Projects That Surprised Me in 2023

  PostgresML | You know Postgres. Now you know machine learning – PostgresML. - Source: dev.to / over 2 years ago

• OpenAI Switch Kit: Swap OpenAI with any open-source model

  You can swap in almost any open-source model on Huggingface. HuggingFaceH4/zephyr-7b-beta, Gryphe/MythoMax-L2-13b, teknium/OpenHermes-2.5-Mistral-7B and more.If you haven't seen us here before, we're PostgresML, an open-source MLOps platform built on Postgres. We bring ML to the database rather than the other way around. Source: over 2 years ago