Full fidelity metadata sans sampling generates a blueprint of source data, comprehensive, deep and exact insights, for AI, ML, data science, analytics, governance, test data, and more. Brings a unique combination of automated discovery and analysis with a processing engine in one solution to control escalating compute costs. Metadata discovery, analysis and quality metrics are through a no code, drill down GUI, nLite. If you wish to develop custom solutions using our products we offer f2md API Toolkit for programming.

The product is data store agnostic and hybrid, working directly on files in object stores, data lakes or databases, without data movement. Its AI driven metadata engine f2mdbX helps you discover schema and quality anomalies even on unknown, legacy datasets resident in cloud. It learns your source data in production pipelines to identify and inform you of changes in schema, data types, values or statistics for proactive data monitoring. Metadata on source data extends beyond profiling to rules, referential integrity, accuracy and privacy to identify sensitive data values.

Available as a self-hosted solution to run on single or multi-node clusters, product is scaleable to suit your data needs and is optimized to work well on a few large files from data warehouses, or thousands of small files from IoT.