Hi Victor, did you find the solution. We are also into the same scenario and unable to install kerberos on HDP 3.1 though same steps worked smoothly on HDP 2.6. Kindly suggest if any recommendations. ... View more

Let's start with Hive and then HCatalog. Hive Layer for analyzing, querying and managing large datasets that reside in Hadoop various file systems ⇢ uses HiveQL (HQL) as processing engine ⇢ uses SerDes for serialization and deserialization ⇢ works best with huge volumes of data HCatalog Table and storage management layer for Hadoop ⇢ basically, the EDW system for Hadoop (it supports several file formats such as RCFile, CSV, JSON, SequenceFile, ORC) ⇢ is a sub-component of Hive, which enables ETL processes ⇢ tool for accessing metadata that reside in Hive Metastore ⇢ acts as an API to expose the metastore as REST interface to external tools such as Pig ⇢ uses WebHcat, a web server for engaging with the Hive Metastore I think the focus has to be made on how they complement each other rather than focusing on their differences. Documentation (3) This answer from @Scott Shaw is worth checking This slideshare presents the use cases and features of Hive and Hcatalog This direct graph from IBM shows how they use both layers in a batch job I hope this helps! 🙂 ... View more