Best Digital Analytics Tools for Snowplow Analytics

Your data, your insights—no third-party ownership or black-box analytics. Kubit is the leading Customer Journey Analytics platform for enterprises, enabling self-service insights, rapid decisions, and full transparency—without engineering dependencies or vendor lock-in. Unlike traditional tools, Kubit eliminates data silos, letting teams analyze customer behavior directly from Snowflake, BigQuery, or Databricks—no ETL or forced extraction needed. With built-in funnel, path, retention, and cohort analysis, Kubit empowers product teams with fast, exploratory analytics to detect anomalies, surface trends, and drive engagement—without compromise. Enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its agility, reliability, and customer-first approach. Learn more at kubit.ai.

Get to know your customers. Get a deeper understanding of your customers. Google Analytics gives you the free tools you need to analyze data for your business in one place. Google Analytics 4 (GA4) is the latest iteration of Google’s analytics platform, designed to provide a deeper and more comprehensive understanding of user behavior across websites and apps. Built with a privacy-centric approach, GA4 leverages event-based tracking instead of session-based tracking, enabling more flexible and detailed data collection. It offers advanced features like cross-platform tracking, machine learning-powered insights, and predictive analytics to help businesses better understand customer journeys and make data-driven decisions. With improved integration with Google Ads and customizable reporting, GA4 empowers organizations to optimize their marketing strategies while adhering to evolving privacy regulations.

rakam provides verticalized reporting features for different teams's reporting needs so, your teams are not restricted in a single interface. rakam turns the questions you ask within user interface to SQL while hiding the complexity from the end-users. rakam doesn't load any data into your data warehouse, it expects you to have all the data inside your data-warehouse and lets you analyze the data without pulling the data outside your data warehouse, the single source of truth. Link to our blog post about the topic. rakam natively supports dbt core as the data modeling layer. rakam doesn't run your dbt transformations, instead connects to your GIT repository and synchronizes your dbt models automatically. rakam can create incremental dbt models, make use of them to speed up your queries and reduce the query costs on your database. When you define aggregates in your dbt resource files, rakam creates roll-up models programmatically hiding the complexity from end-users.