{"request_id":"req_01M46GNY9A0JRDRPJBYBV2AWV1","technology":{"canonical_id":"tech_000000000000009YBMQKNZQRNX","parent_canonical_id":"tech_000000000000009YBMQKJJYW3X","parent_id_zoho":"358446000000430205","name":"Apache Hudi","slug":"apache-hudi-358446000114492093","requires_context":false,"popularity":"Very rare","description":"Open table format and storage framework enabling upserts, incremental processing, and time travel on data lakes.","explanation":"Apache Hudi brings database-like capabilities to data lakes by managing record-level updates and deletes on files stored in object storage such as S3, ADLS, or GCS. It supports incremental pulls, compaction, and indexing to enable near-real-time ingestion and efficient queries with engines like Spark, Flink, Presto/Trino, and Hive. It is often used to build lakehouse architectures where streaming ingestion and mutable datasets are required.","use_cases":[],"strengths":[],"limitations":[],"organizations":null,"certifications":null,"deployment_options":null,"lifecycle":"active","revision":3,"updated_at":"2026-09-13T18:42:36.014775Z","reviewed_at":"2026-09-13T18:42:36.014775Z","source_freshness_at":"0001-01-01T00:00:00Z","aliases":null,"category_ids":["cat_2HJ4RG4S9RHPEZBNGEE3NK4KAF"],"domain_ids":["dom_7T9FA2FDFM1JH50682NH2FWCMT"],"classification_kind":"technology","sources":null,"external_ids":[{"system":"beast","value":"358446000114492093"}],"provenance":"Published taxonomy release 2026.10.7"},"release_version":"2026.10.7"}
