Data and analytics in modern organizations has evolved to center around a lakehouse—a converged data architecture that combines the strengths of data lakes and data warehouses.
Gartner recommends that data and analytics leaders learn how a lakehouse can serve as the organization’s foundational analytic data store, and to identify the features and capabilities needed to support a unified platform for a wide range of analytic workloads.
Read this Gartner research paper to understand:
- The value of a data lakehouse and features core to a data lakehouse
- The critical points to evaluate when looking for a data lakehouse solution
- Recommendations when researching data lakehouse vendors
Get the Gartner view on market direction, rationale, and market dynamics for a data lakehouse solution.
Gartner, Market Guide for Data Lakehouse Platforms, Michael Gonzales, Adam Ronthal, Henry Cook, Aaron Rosenbaum, 23 September 2025. Gartner is a trademark of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
