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Autotrack vs Azure Databricks: What are the differences?
Developers describe Autotrack as "Open source lib for automatic and enhanced Google Analytics tracking for common user interactions on the web (by Google)". It provides default tracking for the interactions most people care about, and it provides several convenience features (e.g. declarative event tracking) to make it easier than ever to understand how people are interacting with your site. On the other hand, Azure Databricks is detailed as "Fast, easy, and collaborative Apache Spark–based analytics service". Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
Autotrack and Azure Databricks belong to "General Analytics" category of the tech stack.
Autotrack is an open source tool with 4.49K GitHub stars and 488 GitHub forks. Here's a link to Autotrack's open source repository on GitHub.