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Best Analytics UI to Use with Snowplow: A Guide for Data Modelers and Consumers

Blog post from Snowplow

Post Details
Company
Date Published
Author
Snowplow Team
Word Count
1,178
Language
English
Hacker News Points
-
Summary

Snowplow is a versatile analytics platform that enables real-time event data collection and processing, and this blog post provides guidance on choosing the right analytics UI to integrate with it. Popular options for visualizing Snowplow data include Looker, Indicative, Metabase, Superset, and other tools like Tableau, Domo, and Holistics, each with unique features and limitations. Looker offers seamless integration and customization but requires some SQL knowledge, while Indicative provides a SQL-free, user-friendly interface for non-technical users, focusing on customer journey analysis. Metabase is a cost-effective, open-source solution suited for basic reporting, whereas Superset offers flexible customization but requires hosting. Tableau, Domo, and Holistics provide advanced visualizations but can be costly. The choice of tool depends on user technicality, budget constraints, and data complexity, with Snowplow's architecture supporting flexible integration with various platforms to meet diverse organizational needs.