Hudi's indexes turn needle-in-haystack lakehouse reads into database-style lookups
Partition pruning and min/max stats stop helping when you filter on high-cardinality keys, forcing full scans. Hudi's metadata-table indexes (record-level, secondary, expression, bloom filters) prune to the few matching files at planning time, taking a record-key lookup on a 400 GB table from 977 seconds down to 12. A clear primer on making selective reads act like a database.