The advanced analytics provided by ADB is being used across many verticals, including finance, manufacturing, automotive, government, energy, education, retail, and so on, to address a wide variety of problems.

Some of the Arenadata DB analytics capabilities include the ability to analyze a multitude of data types, leverage existing SQL knowledge, and train more models in less time by using the MPP architecture.

Additionally, ADB provides in-database analytics which allows you to run analytics directly in the database vs exporting and running your data in an external analytics engine.

Arenadata DB is an excellent database for machine learning – the study of computer algorithms that improve automatically through experience. Apache MADlib is an open-source, SQL-based machine learning library that runs in-database on ADB, as well as on PostgreSQL.

This combination helps to improve the parallelism, scalability, and predictive accuracy of a machine learning deployment. Data transformation and feature engineering capabilities are also available through MADlib for machine learning, including descriptive and inferential statistics, pivoting, sessionization, and categorical variables encoding.

With ADB ability to ingest large volumes of data at high speeds, it makes this database a powerful tool for smart applications that need to interact intelligently based on an unlimited number of unique scenarios.

For example, a telecom company may use Arenadata DB AI capabilities in IoT (Internet of Things) systems with smart sensors to analyze and process events for maintenance, security, and operational efficiency purposes.