Anomalo

Anomalo is a data quality platform that monitors the tables in a company's data warehouse and flags problems before they reach reports, models and dashboards. Instead of asking engineers to write a rule for every check, it uses machine learning to learn what normal data looks like and to detect unexpected changes automatically. The company now presents it as an autonomous data management system built from a set of agents. The agents on offer cover data quality, data insights, table observability, data documentation and experiment evaluation. Several more are marked as coming soon, including a data issue first responder, business KPI monitoring, dashboarding and reporting, and a conversational analytics agent called AIDA. The site describes monitoring across on premises and cloud data platforms and tailors its messaging to media and entertainment, telecommunications, financial services and insurance, retail and consumer packaged goods, data providers, healthcare and life sciences, and energy. It is built for data engineering and analytics teams at larger organizations that depend on trustworthy data for reporting, risk models and decisioning, and it suits regulated and complex pipelines. Anomalo does not publish pricing. The site directs visitors to request a demo, and no plan or price information is available on its pages, so cost must be obtained from the vendor. Its registry category is writing tools, which does not fit the product well, since it is a data quality and observability platform.