Here’s the difference between Holoclean and Metaplane. The comparison is based on pricing, deployment, business model, and other important factors.
HoloClean is a statistical inference engine to impute, clean, and enrich data. As a weakly supervised machine learning system, HoloClean leverages available quality rules, value correlations, reference data, and multiple other signals to build a probabilistic model that accurately captures the data generation process, and uses the model in a variety of data curation tasks. HoloClean allows data practitioners and scientists to save the enormous time they spend in building piecemeal cleaning solutions, and instead, effectively communicate their domain knowledge in a declarative way to enable accurate analytics, predictions, and insights from noisy, incomplete, and erroneous data.
Metadata cataloging and management solutions provider. The features of the product include an automated collection of metadata, interface for discovery, curation, and annotation, API integration, data centralization, deployments, etc. It also finds, diagnoses, and fixes data quality issues.