Modern data stack is a comprehensive framework and set of tools designed to efficiently collect, process, analyze, and visualize data in a well-integrated cloud-based data platform. The main characteristics of a modern data stack include robustness, speed, and scalability. Compared to traditional fragmented architectures, the core assumption of the modern data stack is unified access to data across the business.

A typical modern data stack consists of the following:

  • Cloud data warehouse
  • Extract, Load, Transform (ELT) tools
  • Data ingestion/integration services
  • Reverse Extract, Transform, Load (ETL) tools
  • Data orchestration tools
  • Business intelligence (BI) platforms

The entire premise behind a modern data stack is to create an end-to-end flow of data from acquisition to integration, to persistence – where every layer is centered around the analytics platform.

Further reading:


  • Piwik PRO vs. Google Analytics for Shopify: A comparison

    If you’re running a Shopify store, your analytics tool should do more than just count visits, it should give you complete, accurate data you can use to grow. While Google Analytics 4 (GA4) remains a popular default, many merchants discover its limitations too late: missing transactions, inconsistent reporting, lack of flexibility, and difficulty activating data…

  • Introducing Piwik PRO app for Shopify: Advanced analytics with built-in CDP

    We’re excited to introduce the Piwik PRO app for Shopify. This powerful analytics solution helps you understand your customers, optimize campaigns, and make better business decisions with accurate, unsampled data. Get up and running in minutes and start tracking the full customer journey across devices and sessions. With a built-in Customer Data Platform (CDP) included…