Organizations are navigating an increasingly complex data landscape. Data warehouses, data lakes, lakehouses and data hubs each offer unique capabilities — but deciding how and when to use them is not always clear.In our view, this Gartner® report outlines the strengths and trade-offs of each architecture model and provides a practical framework to help data and analytics leaders make more informed decisions.

Our learnings from the report:

• Align architecture decisions with specific business use cases, rather than defaulting to a single platform

• Adopt a multi-component strategy where warehouses, lakes, lakehouses and hubs can coexist and complement one another

• Prioritise governance, integration and agility when selecting or combining architecture patterns

• Continuously reassess architectural fit as data volumes, latency requirements and AI/ML workloads evolve

Take the next steps and download the report if you’d like to learn more about:

• Comparative strengths and limitations of each architecture type

• Real-world implementation patterns

• Strategic guidance for combining components effectively
  

Gartner, Top Practices for Using Data Warehouses, Lakes, Lakehouses and Hubs, By Roxane Edjlali, Adam Ronthal, 16 July 2025 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

👉 Download your complimentary copy now to inform your data strategy.