Umami vs Databricks: What are the differences?
What is Umami? Self-hosted open-source alternative to Google Analytics. It is a simple, easy to use, self-hosted web analytics solution. The goal is to provide you with a friendlier, privacy-focused alternative to Google Analytics and a free, open-sourced alternative to paid solutions. It collects only the metrics you care about and everything fits on a single page.
What is Databricks? A unified analytics platform, powered by Apache Spark. Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
Umami and Databricks belong to "General Analytics" category of the tech stack.
Some of the features offered by Umami are:
- Simple analytics
- Unlimited websites
- Bypass ad-blockers
On the other hand, Databricks provides the following key features:
- Built on Apache Spark and optimized for performance
- Reliable and Performant Data Lakes
- Interactive Data Science and Collaboration