What is a Data Lakehouse?
61 citationsBased on TrustRadius reviews, a data lakehouse, as implemented by ibm watsonx.data, is an architecture designed to unify data access across disparate systems. Reviewers describe it as a way to query and analyze data from multiple sources—including on-premises, hybrid, and multi-cloud environments—without needing to move or duplicate the data. This approach, often referred to as federated querying, is reported to save significant time on data preparation and processing. Users also note benefits like reduced cloud storage costs and a lower total cost of ownership by integrating various tools into a single platform.
Prompt Questions
what's the difference between a data lake, a data warehouse, and a data lakehouse in simple terms?
how do you decide between a data lake, a data warehouse, and a data lakehouse for a company that's scaling quickly?
how does a data lakehouse handle both structured tables and unstructured files like pdfs and images in the same platform?
what is a data lakehouse, and why would a consulting firm choose one over a traditional data warehouse?