Data Lake vs Data Warehouse vs Lakehouse: How to Choose the Right Architecture | Data in Action #6

Choosing between a Data Lake, Data Warehouse, or Lakehouse is one of the most expensive decisions a tech leader can get wrong — yet most teams make it based on hype, not business need.

In this episode of Data in Action, Senior Data Engineer Khrystyna Porodko explains when to use each architecture, what it really costs, how to handle real-time data, and why a hybrid Lakehouse is often the answer for AI-ready companies in 2026.

Whether you're a CTO, data architect, or engineer evaluating your next move — this episode gives you a clear framework to choose with confidence.

🔗 Book a data consultation with our team: https://bit.ly/4cucN9q

Subscribe and stay tuned for future videos. 🔔

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Timecodes:
0:00 Quiz: Data Lake, Warehouse or Lakehouse?
1:28 Deciding factors: business goals, team maturity & industry
3:03 Why companies are adopting the Lakehouse hybrid model
3:40 Case of choosing the wrong architecture
4:39 Real-time data: does a Lake or Warehouse handle it better?
5:33 Do you actually need all in real-time? (The 10% rule)
6:09 Hidden costs in lakes & warehouses
7:04 Best data foundation for AI products in 2026

#dataengineering #dataarchitecture #datalake #datawarehouse #datalakehouse

Видео Data Lake vs Data Warehouse vs Lakehouse: How to Choose the Right Architecture | Data in Action #6 канала N-iX