Here’s the difference between Holoclean and Anomalo. 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.
Anomalo is a cloud-based data validation and documentation software solution provider. The features of the solution include document validation without code, search table, column & metric in a data warehouse, etc. It also provides web and slack notifications, tailored data analyses, visualizations & statistical summaries, secure deployment, etc.