Forrester Wave™ Report: Machine Learning Data Catelogs
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According to Forrester’s report, an MLDC is a "machine-learning-powered metadata catalog and policy processing engine that profiles, defines, and maintains semantic, logical, and physical models and traits of data within a data fabric for activation within systems of insights". Forrester also points out "MLDCs are demonstrating ROI in many cases within four weeks. Additionally, ML provides certain insights from data as part of its analytic process that previously required an analyst to see facts, trends, and causal relationships".
To assess the state of the MLDC market and see how the vendors stack up against each other, Forrester evaluated the strengths and weaknesses of top MLDC vendors. This report shows how each provider measures up and helps enterprise architecture (EA) professionals make the right choice.